<!DOCTYPE html>

<html>

<head>

<meta charset="utf-8" />
<meta name="generator" content="pandoc" />
<meta http-equiv="X-UA-Compatible" content="IE=EDGE" />


<meta name="author" content="Flávio Azevedo, Deliah Bolesta, Leticia Micheli" />


<title>Replication of Ihme &amp; Tausendpfund (2018) - Stage 1 and 2</title>

<script src="data:application/javascript;base64,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"></script>
<script src="data:application/javascript;base64,/*! jQuery v3.6.0 | (c) OpenJS Foundation and other contributors | jquery.org/license */
!function(e,t){"use strict";"object"==typeof module&&"object"==typeof module.exports?module.exports=e.document?t(e,!0):function(e){if(!e.document)throw new Error("jQuery requires a window with a document");return t(e)}:t(e)}("undefined"!=typeof window?window:this,function(C,e){"use strict";var t=[],r=Object.getPrototypeOf,s=t.slice,g=t.flat?function(e){return t.flat.call(e)}:function(e){return t.concat.apply([],e)},u=t.push,i=t.indexOf,n={},o=n.toString,v=n.hasOwnProperty,a=v.toString,l=a.call(Object),y={},m=function(e){return"function"==typeof e&&"number"!=typeof e.nodeType&&"function"!=typeof e.item},x=function(e){return null!=e&&e===e.window},E=C.document,c={type:!0,src:!0,nonce:!0,noModule:!0};function b(e,t,n){var r,i,o=(n=n||E).createElement("script");if(o.text=e,t)for(r in c)(i=t[r]||t.getAttribute&&t.getAttribute(r))&&o.setAttribute(r,i);n.head.appendChild(o).parentNode.removeChild(o)}function w(e){return null==e?e+"":"object"==typeof e||"function"==typeof e?n[o.call(e)]||"object":typeof e}var f="3.6.0",S=function(e,t){return new S.fn.init(e,t)};function p(e){var t=!!e&&"length"in e&&e.length,n=w(e);return!m(e)&&!x(e)&&("array"===n||0===t||"number"==typeof t&&0<t&&t-1 in e)}S.fn=S.prototype={jquery:f,constructor:S,length:0,toArray:function(){return s.call(this)},get:function(e){return null==e?s.call(this):e<0?this[e+this.length]:this[e]},pushStack:function(e){var t=S.merge(this.constructor(),e);return t.prevObject=this,t},each:function(e){return S.each(this,e)},map:function(n){return this.pushStack(S.map(this,function(e,t){return n.call(e,t,e)}))},slice:function(){return this.pushStack(s.apply(this,arguments))},first:function(){return this.eq(0)},last:function(){return this.eq(-1)},even:function(){return this.pushStack(S.grep(this,function(e,t){return(t+1)%2}))},odd:function(){return this.pushStack(S.grep(this,function(e,t){return t%2}))},eq:function(e){var t=this.length,n=+e+(e<0?t:0);return this.pushStack(0<=n&&n<t?[this[n]]:[])},end:function(){return this.prevObject||this.constructor()},push:u,sort:t.sort,splice:t.splice},S.extend=S.fn.extend=function(){var e,t,n,r,i,o,a=arguments[0]||{},s=1,u=arguments.length,l=!1;for("boolean"==typeof a&&(l=a,a=arguments[s]||{},s++),"object"==typeof a||m(a)||(a={}),s===u&&(a=this,s--);s<u;s++)if(null!=(e=arguments[s]))for(t in e)r=e[t],"__proto__"!==t&&a!==r&&(l&&r&&(S.isPlainObject(r)||(i=Array.isArray(r)))?(n=a[t],o=i&&!Array.isArray(n)?[]:i||S.isPlainObject(n)?n:{},i=!1,a[t]=S.extend(l,o,r)):void 0!==r&&(a[t]=r));return a},S.extend({expando:"jQuery"+(f+Math.random()).replace(/\D/g,""),isReady:!0,error:function(e){throw new Error(e)},noop:function(){},isPlainObject:function(e){var t,n;return!(!e||"[object Object]"!==o.call(e))&&(!(t=r(e))||"function"==typeof(n=v.call(t,"constructor")&&t.constructor)&&a.call(n)===l)},isEmptyObject:function(e){var t;for(t in e)return!1;return!0},globalEval:function(e,t,n){b(e,{nonce:t&&t.nonce},n)},each:function(e,t){var n,r=0;if(p(e)){for(n=e.length;r<n;r++)if(!1===t.call(e[r],r,e[r]))break}else for(r in e)if(!1===t.call(e[r],r,e[r]))break;return e},makeArray:function(e,t){var n=t||[];return null!=e&&(p(Object(e))?S.merge(n,"string"==typeof e?[e]:e):u.call(n,e)),n},inArray:function(e,t,n){return null==t?-1:i.call(t,e,n)},merge:function(e,t){for(var n=+t.length,r=0,i=e.length;r<n;r++)e[i++]=t[r];return e.length=i,e},grep:function(e,t,n){for(var r=[],i=0,o=e.length,a=!n;i<o;i++)!t(e[i],i)!==a&&r.push(e[i]);return r},map:function(e,t,n){var r,i,o=0,a=[];if(p(e))for(r=e.length;o<r;o++)null!=(i=t(e[o],o,n))&&a.push(i);else for(o in e)null!=(i=t(e[o],o,n))&&a.push(i);return g(a)},guid:1,support:y}),"function"==typeof Symbol&&(S.fn[Symbol.iterator]=t[Symbol.iterator]),S.each("Boolean Number String Function Array Date RegExp Object Error Symbol".split(" "),function(e,t){n["[object "+t+"]"]=t.toLowerCase()});var d=function(n){var e,d,b,o,i,h,f,g,w,u,l,T,C,a,E,v,s,c,y,S="sizzle"+1*new Date,p=n.document,k=0,r=0,m=ue(),x=ue(),A=ue(),N=ue(),j=function(e,t){return e===t&&(l=!0),0},D={}.hasOwnProperty,t=[],q=t.pop,L=t.push,H=t.push,O=t.slice,P=function(e,t){for(var n=0,r=e.length;n<r;n++)if(e[n]===t)return n;return-1},R="checked|selected|async|autofocus|autoplay|controls|defer|disabled|hidden|ismap|loop|multiple|open|readonly|required|scoped",M="[\\x20\\t\\r\\n\\f]",I="(?:\\\\[\\da-fA-F]{1,6}"+M+"?|\\\\[^\\r\\n\\f]|[\\w-]|[^\0-\\x7f])+",W="\\["+M+"*("+I+")(?:"+M+"*([*^$|!~]?=)"+M+"*(?:'((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\"|("+I+"))|)"+M+"*\\]",F=":("+I+")(?:\\((('((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\")|((?:\\\\.|[^\\\\()[\\]]|"+W+")*)|.*)\\)|)",B=new RegExp(M+"+","g"),$=new RegExp("^"+M+"+|((?:^|[^\\\\])(?:\\\\.)*)"+M+"+$","g"),_=new RegExp("^"+M+"*,"+M+"*"),z=new RegExp("^"+M+"*([>+~]|"+M+")"+M+"*"),U=new RegExp(M+"|>"),X=new RegExp(F),V=new RegExp("^"+I+"$"),G={ID:new RegExp("^#("+I+")"),CLASS:new RegExp("^\\.("+I+")"),TAG:new RegExp("^("+I+"|[*])"),ATTR:new RegExp("^"+W),PSEUDO:new RegExp("^"+F),CHILD:new RegExp("^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\("+M+"*(even|odd|(([+-]|)(\\d*)n|)"+M+"*(?:([+-]|)"+M+"*(\\d+)|))"+M+"*\\)|)","i"),bool:new RegExp("^(?:"+R+")$","i"),needsContext:new RegExp("^"+M+"*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\("+M+"*((?:-\\d)?\\d*)"+M+"*\\)|)(?=[^-]|$)","i")},Y=/HTML$/i,Q=/^(?:input|select|textarea|button)$/i,J=/^h\d$/i,K=/^[^{]+\{\s*\[native \w/,Z=/^(?:#([\w-]+)|(\w+)|\.([\w-]+))$/,ee=/[+~]/,te=new RegExp("\\\\[\\da-fA-F]{1,6}"+M+"?|\\\\([^\\r\\n\\f])","g"),ne=function(e,t){var n="0x"+e.slice(1)-65536;return t||(n<0?String.fromCharCode(n+65536):String.fromCharCode(n>>10|55296,1023&n|56320))},re=/([\0-\x1f\x7f]|^-?\d)|^-$|[^\0-\x1f\x7f-\uFFFF\w-]/g,ie=function(e,t){return t?"\0"===e?"\ufffd":e.slice(0,-1)+"\\"+e.charCodeAt(e.length-1).toString(16)+" ":"\\"+e},oe=function(){T()},ae=be(function(e){return!0===e.disabled&&"fieldset"===e.nodeName.toLowerCase()},{dir:"parentNode",next:"legend"});try{H.apply(t=O.call(p.childNodes),p.childNodes),t[p.childNodes.length].nodeType}catch(e){H={apply:t.length?function(e,t){L.apply(e,O.call(t))}:function(e,t){var n=e.length,r=0;while(e[n++]=t[r++]);e.length=n-1}}}function se(t,e,n,r){var i,o,a,s,u,l,c,f=e&&e.ownerDocument,p=e?e.nodeType:9;if(n=n||[],"string"!=typeof t||!t||1!==p&&9!==p&&11!==p)return n;if(!r&&(T(e),e=e||C,E)){if(11!==p&&(u=Z.exec(t)))if(i=u[1]){if(9===p){if(!(a=e.getElementById(i)))return n;if(a.id===i)return n.push(a),n}else if(f&&(a=f.getElementById(i))&&y(e,a)&&a.id===i)return n.push(a),n}else{if(u[2])return H.apply(n,e.getElementsByTagName(t)),n;if((i=u[3])&&d.getElementsByClassName&&e.getElementsByClassName)return H.apply(n,e.getElementsByClassName(i)),n}if(d.qsa&&!N[t+" "]&&(!v||!v.test(t))&&(1!==p||"object"!==e.nodeName.toLowerCase())){if(c=t,f=e,1===p&&(U.test(t)||z.test(t))){(f=ee.test(t)&&ye(e.parentNode)||e)===e&&d.scope||((s=e.getAttribute("id"))?s=s.replace(re,ie):e.setAttribute("id",s=S)),o=(l=h(t)).length;while(o--)l[o]=(s?"#"+s:":scope")+" "+xe(l[o]);c=l.join(",")}try{return H.apply(n,f.querySelectorAll(c)),n}catch(e){N(t,!0)}finally{s===S&&e.removeAttribute("id")}}}return g(t.replace($,"$1"),e,n,r)}function ue(){var r=[];return function e(t,n){return r.push(t+" ")>b.cacheLength&&delete e[r.shift()],e[t+" "]=n}}function le(e){return e[S]=!0,e}function ce(e){var t=C.createElement("fieldset");try{return!!e(t)}catch(e){return!1}finally{t.parentNode&&t.parentNode.removeChild(t),t=null}}function fe(e,t){var n=e.split("|"),r=n.length;while(r--)b.attrHandle[n[r]]=t}function pe(e,t){var n=t&&e,r=n&&1===e.nodeType&&1===t.nodeType&&e.sourceIndex-t.sourceIndex;if(r)return r;if(n)while(n=n.nextSibling)if(n===t)return-1;return e?1:-1}function de(t){return function(e){return"input"===e.nodeName.toLowerCase()&&e.type===t}}function he(n){return function(e){var t=e.nodeName.toLowerCase();return("input"===t||"button"===t)&&e.type===n}}function ge(t){return function(e){return"form"in e?e.parentNode&&!1===e.disabled?"label"in e?"label"in e.parentNode?e.parentNode.disabled===t:e.disabled===t:e.isDisabled===t||e.isDisabled!==!t&&ae(e)===t:e.disabled===t:"label"in e&&e.disabled===t}}function ve(a){return le(function(o){return o=+o,le(function(e,t){var n,r=a([],e.length,o),i=r.length;while(i--)e[n=r[i]]&&(e[n]=!(t[n]=e[n]))})})}function ye(e){return e&&"undefined"!=typeof e.getElementsByTagName&&e}for(e in d=se.support={},i=se.isXML=function(e){var t=e&&e.namespaceURI,n=e&&(e.ownerDocument||e).documentElement;return!Y.test(t||n&&n.nodeName||"HTML")},T=se.setDocument=function(e){var t,n,r=e?e.ownerDocument||e:p;return r!=C&&9===r.nodeType&&r.documentElement&&(a=(C=r).documentElement,E=!i(C),p!=C&&(n=C.defaultView)&&n.top!==n&&(n.addEventListener?n.addEventListener("unload",oe,!1):n.attachEvent&&n.attachEvent("onunload",oe)),d.scope=ce(function(e){return a.appendChild(e).appendChild(C.createElement("div")),"undefined"!=typeof e.querySelectorAll&&!e.querySelectorAll(":scope fieldset div").length}),d.attributes=ce(function(e){return e.className="i",!e.getAttribute("className")}),d.getElementsByTagName=ce(function(e){return e.appendChild(C.createComment("")),!e.getElementsByTagName("*").length}),d.getElementsByClassName=K.test(C.getElementsByClassName),d.getById=ce(function(e){return a.appendChild(e).id=S,!C.getElementsByName||!C.getElementsByName(S).length}),d.getById?(b.filter.ID=function(e){var t=e.replace(te,ne);return function(e){return e.getAttribute("id")===t}},b.find.ID=function(e,t){if("undefined"!=typeof t.getElementById&&E){var n=t.getElementById(e);return n?[n]:[]}}):(b.filter.ID=function(e){var n=e.replace(te,ne);return function(e){var t="undefined"!=typeof e.getAttributeNode&&e.getAttributeNode("id");return t&&t.value===n}},b.find.ID=function(e,t){if("undefined"!=typeof t.getElementById&&E){var n,r,i,o=t.getElementById(e);if(o){if((n=o.getAttributeNode("id"))&&n.value===e)return[o];i=t.getElementsByName(e),r=0;while(o=i[r++])if((n=o.getAttributeNode("id"))&&n.value===e)return[o]}return[]}}),b.find.TAG=d.getElementsByTagName?function(e,t){return"undefined"!=typeof t.getElementsByTagName?t.getElementsByTagName(e):d.qsa?t.querySelectorAll(e):void 0}:function(e,t){var n,r=[],i=0,o=t.getElementsByTagName(e);if("*"===e){while(n=o[i++])1===n.nodeType&&r.push(n);return r}return o},b.find.CLASS=d.getElementsByClassName&&function(e,t){if("undefined"!=typeof t.getElementsByClassName&&E)return t.getElementsByClassName(e)},s=[],v=[],(d.qsa=K.test(C.querySelectorAll))&&(ce(function(e){var t;a.appendChild(e).innerHTML="<a id='"+S+"'></a><select id='"+S+"-\r\\' msallowcapture=''><option selected=''></option></select>",e.querySelectorAll("[msallowcapture^='']").length&&v.push("[*^$]="+M+"*(?:''|\"\")"),e.querySelectorAll("[selected]").length||v.push("\\["+M+"*(?:value|"+R+")"),e.querySelectorAll("[id~="+S+"-]").length||v.push("~="),(t=C.createElement("input")).setAttribute("name",""),e.appendChild(t),e.querySelectorAll("[name='']").length||v.push("\\["+M+"*name"+M+"*="+M+"*(?:''|\"\")"),e.querySelectorAll(":checked").length||v.push(":checked"),e.querySelectorAll("a#"+S+"+*").length||v.push(".#.+[+~]"),e.querySelectorAll("\\\f"),v.push("[\\r\\n\\f]")}),ce(function(e){e.innerHTML="<a href='' disabled='disabled'></a><select disabled='disabled'><option/></select>";var t=C.createElement("input");t.setAttribute("type","hidden"),e.appendChild(t).setAttribute("name","D"),e.querySelectorAll("[name=d]").length&&v.push("name"+M+"*[*^$|!~]?="),2!==e.querySelectorAll(":enabled").length&&v.push(":enabled",":disabled"),a.appendChild(e).disabled=!0,2!==e.querySelectorAll(":disabled").length&&v.push(":enabled",":disabled"),e.querySelectorAll("*,:x"),v.push(",.*:")})),(d.matchesSelector=K.test(c=a.matches||a.webkitMatchesSelector||a.mozMatchesSelector||a.oMatchesSelector||a.msMatchesSelector))&&ce(function(e){d.disconnectedMatch=c.call(e,"*"),c.call(e,"[s!='']:x"),s.push("!=",F)}),v=v.length&&new RegExp(v.join("|")),s=s.length&&new RegExp(s.join("|")),t=K.test(a.compareDocumentPosition),y=t||K.test(a.contains)?function(e,t){var n=9===e.nodeType?e.documentElement:e,r=t&&t.parentNode;return e===r||!(!r||1!==r.nodeType||!(n.contains?n.contains(r):e.compareDocumentPosition&&16&e.compareDocumentPosition(r)))}:function(e,t){if(t)while(t=t.parentNode)if(t===e)return!0;return!1},j=t?function(e,t){if(e===t)return l=!0,0;var n=!e.compareDocumentPosition-!t.compareDocumentPosition;return n||(1&(n=(e.ownerDocument||e)==(t.ownerDocument||t)?e.compareDocumentPosition(t):1)||!d.sortDetached&&t.compareDocumentPosition(e)===n?e==C||e.ownerDocument==p&&y(p,e)?-1:t==C||t.ownerDocument==p&&y(p,t)?1:u?P(u,e)-P(u,t):0:4&n?-1:1)}:function(e,t){if(e===t)return l=!0,0;var n,r=0,i=e.parentNode,o=t.parentNode,a=[e],s=[t];if(!i||!o)return e==C?-1:t==C?1:i?-1:o?1:u?P(u,e)-P(u,t):0;if(i===o)return pe(e,t);n=e;while(n=n.parentNode)a.unshift(n);n=t;while(n=n.parentNode)s.unshift(n);while(a[r]===s[r])r++;return r?pe(a[r],s[r]):a[r]==p?-1:s[r]==p?1:0}),C},se.matches=function(e,t){return se(e,null,null,t)},se.matchesSelector=function(e,t){if(T(e),d.matchesSelector&&E&&!N[t+" "]&&(!s||!s.test(t))&&(!v||!v.test(t)))try{var n=c.call(e,t);if(n||d.disconnectedMatch||e.document&&11!==e.document.nodeType)return n}catch(e){N(t,!0)}return 0<se(t,C,null,[e]).length},se.contains=function(e,t){return(e.ownerDocument||e)!=C&&T(e),y(e,t)},se.attr=function(e,t){(e.ownerDocument||e)!=C&&T(e);var n=b.attrHandle[t.toLowerCase()],r=n&&D.call(b.attrHandle,t.toLowerCase())?n(e,t,!E):void 0;return void 0!==r?r:d.attributes||!E?e.getAttribute(t):(r=e.getAttributeNode(t))&&r.specified?r.value:null},se.escape=function(e){return(e+"").replace(re,ie)},se.error=function(e){throw new Error("Syntax error, unrecognized expression: "+e)},se.uniqueSort=function(e){var t,n=[],r=0,i=0;if(l=!d.detectDuplicates,u=!d.sortStable&&e.slice(0),e.sort(j),l){while(t=e[i++])t===e[i]&&(r=n.push(i));while(r--)e.splice(n[r],1)}return u=null,e},o=se.getText=function(e){var t,n="",r=0,i=e.nodeType;if(i){if(1===i||9===i||11===i){if("string"==typeof e.textContent)return e.textContent;for(e=e.firstChild;e;e=e.nextSibling)n+=o(e)}else if(3===i||4===i)return e.nodeValue}else while(t=e[r++])n+=o(t);return n},(b=se.selectors={cacheLength:50,createPseudo:le,match:G,attrHandle:{},find:{},relative:{">":{dir:"parentNode",first:!0}," ":{dir:"parentNode"},"+":{dir:"previousSibling",first:!0},"~":{dir:"previousSibling"}},preFilter:{ATTR:function(e){return e[1]=e[1].replace(te,ne),e[3]=(e[3]||e[4]||e[5]||"").replace(te,ne),"~="===e[2]&&(e[3]=" "+e[3]+" "),e.slice(0,4)},CHILD:function(e){return e[1]=e[1].toLowerCase(),"nth"===e[1].slice(0,3)?(e[3]||se.error(e[0]),e[4]=+(e[4]?e[5]+(e[6]||1):2*("even"===e[3]||"odd"===e[3])),e[5]=+(e[7]+e[8]||"odd"===e[3])):e[3]&&se.error(e[0]),e},PSEUDO:function(e){var t,n=!e[6]&&e[2];return G.CHILD.test(e[0])?null:(e[3]?e[2]=e[4]||e[5]||"":n&&X.test(n)&&(t=h(n,!0))&&(t=n.indexOf(")",n.length-t)-n.length)&&(e[0]=e[0].slice(0,t),e[2]=n.slice(0,t)),e.slice(0,3))}},filter:{TAG:function(e){var t=e.replace(te,ne).toLowerCase();return"*"===e?function(){return!0}:function(e){return e.nodeName&&e.nodeName.toLowerCase()===t}},CLASS:function(e){var t=m[e+" "];return t||(t=new RegExp("(^|"+M+")"+e+"("+M+"|$)"))&&m(e,function(e){return t.test("string"==typeof e.className&&e.className||"undefined"!=typeof e.getAttribute&&e.getAttribute("class")||"")})},ATTR:function(n,r,i){return function(e){var t=se.attr(e,n);return null==t?"!="===r:!r||(t+="","="===r?t===i:"!="===r?t!==i:"^="===r?i&&0===t.indexOf(i):"*="===r?i&&-1<t.indexOf(i):"$="===r?i&&t.slice(-i.length)===i:"~="===r?-1<(" "+t.replace(B," ")+" ").indexOf(i):"|="===r&&(t===i||t.slice(0,i.length+1)===i+"-"))}},CHILD:function(h,e,t,g,v){var y="nth"!==h.slice(0,3),m="last"!==h.slice(-4),x="of-type"===e;return 1===g&&0===v?function(e){return!!e.parentNode}:function(e,t,n){var r,i,o,a,s,u,l=y!==m?"nextSibling":"previousSibling",c=e.parentNode,f=x&&e.nodeName.toLowerCase(),p=!n&&!x,d=!1;if(c){if(y){while(l){a=e;while(a=a[l])if(x?a.nodeName.toLowerCase()===f:1===a.nodeType)return!1;u=l="only"===h&&!u&&"nextSibling"}return!0}if(u=[m?c.firstChild:c.lastChild],m&&p){d=(s=(r=(i=(o=(a=c)[S]||(a[S]={}))[a.uniqueID]||(o[a.uniqueID]={}))[h]||[])[0]===k&&r[1])&&r[2],a=s&&c.childNodes[s];while(a=++s&&a&&a[l]||(d=s=0)||u.pop())if(1===a.nodeType&&++d&&a===e){i[h]=[k,s,d];break}}else if(p&&(d=s=(r=(i=(o=(a=e)[S]||(a[S]={}))[a.uniqueID]||(o[a.uniqueID]={}))[h]||[])[0]===k&&r[1]),!1===d)while(a=++s&&a&&a[l]||(d=s=0)||u.pop())if((x?a.nodeName.toLowerCase()===f:1===a.nodeType)&&++d&&(p&&((i=(o=a[S]||(a[S]={}))[a.uniqueID]||(o[a.uniqueID]={}))[h]=[k,d]),a===e))break;return(d-=v)===g||d%g==0&&0<=d/g}}},PSEUDO:function(e,o){var t,a=b.pseudos[e]||b.setFilters[e.toLowerCase()]||se.error("unsupported pseudo: "+e);return a[S]?a(o):1<a.length?(t=[e,e,"",o],b.setFilters.hasOwnProperty(e.toLowerCase())?le(function(e,t){var n,r=a(e,o),i=r.length;while(i--)e[n=P(e,r[i])]=!(t[n]=r[i])}):function(e){return a(e,0,t)}):a}},pseudos:{not:le(function(e){var r=[],i=[],s=f(e.replace($,"$1"));return s[S]?le(function(e,t,n,r){var i,o=s(e,null,r,[]),a=e.length;while(a--)(i=o[a])&&(e[a]=!(t[a]=i))}):function(e,t,n){return r[0]=e,s(r,null,n,i),r[0]=null,!i.pop()}}),has:le(function(t){return function(e){return 0<se(t,e).length}}),contains:le(function(t){return t=t.replace(te,ne),function(e){return-1<(e.textContent||o(e)).indexOf(t)}}),lang:le(function(n){return V.test(n||"")||se.error("unsupported lang: "+n),n=n.replace(te,ne).toLowerCase(),function(e){var t;do{if(t=E?e.lang:e.getAttribute("xml:lang")||e.getAttribute("lang"))return(t=t.toLowerCase())===n||0===t.indexOf(n+"-")}while((e=e.parentNode)&&1===e.nodeType);return!1}}),target:function(e){var t=n.location&&n.location.hash;return t&&t.slice(1)===e.id},root:function(e){return e===a},focus:function(e){return e===C.activeElement&&(!C.hasFocus||C.hasFocus())&&!!(e.type||e.href||~e.tabIndex)},enabled:ge(!1),disabled:ge(!0),checked:function(e){var t=e.nodeName.toLowerCase();return"input"===t&&!!e.checked||"option"===t&&!!e.selected},selected:function(e){return e.parentNode&&e.parentNode.selectedIndex,!0===e.selected},empty:function(e){for(e=e.firstChild;e;e=e.nextSibling)if(e.nodeType<6)return!1;return!0},parent:function(e){return!b.pseudos.empty(e)},header:function(e){return J.test(e.nodeName)},input:function(e){return Q.test(e.nodeName)},button:function(e){var t=e.nodeName.toLowerCase();return"input"===t&&"button"===e.type||"button"===t},text:function(e){var t;return"input"===e.nodeName.toLowerCase()&&"text"===e.type&&(null==(t=e.getAttribute("type"))||"text"===t.toLowerCase())},first:ve(function(){return[0]}),last:ve(function(e,t){return[t-1]}),eq:ve(function(e,t,n){return[n<0?n+t:n]}),even:ve(function(e,t){for(var n=0;n<t;n+=2)e.push(n);return e}),odd:ve(function(e,t){for(var n=1;n<t;n+=2)e.push(n);return e}),lt:ve(function(e,t,n){for(var r=n<0?n+t:t<n?t:n;0<=--r;)e.push(r);return e}),gt:ve(function(e,t,n){for(var r=n<0?n+t:n;++r<t;)e.push(r);return e})}}).pseudos.nth=b.pseudos.eq,{radio:!0,checkbox:!0,file:!0,password:!0,image:!0})b.pseudos[e]=de(e);for(e in{submit:!0,reset:!0})b.pseudos[e]=he(e);function me(){}function xe(e){for(var t=0,n=e.length,r="";t<n;t++)r+=e[t].value;return r}function be(s,e,t){var u=e.dir,l=e.next,c=l||u,f=t&&"parentNode"===c,p=r++;return e.first?function(e,t,n){while(e=e[u])if(1===e.nodeType||f)return s(e,t,n);return!1}:function(e,t,n){var r,i,o,a=[k,p];if(n){while(e=e[u])if((1===e.nodeType||f)&&s(e,t,n))return!0}else while(e=e[u])if(1===e.nodeType||f)if(i=(o=e[S]||(e[S]={}))[e.uniqueID]||(o[e.uniqueID]={}),l&&l===e.nodeName.toLowerCase())e=e[u]||e;else{if((r=i[c])&&r[0]===k&&r[1]===p)return a[2]=r[2];if((i[c]=a)[2]=s(e,t,n))return!0}return!1}}function we(i){return 1<i.length?function(e,t,n){var r=i.length;while(r--)if(!i[r](e,t,n))return!1;return!0}:i[0]}function Te(e,t,n,r,i){for(var o,a=[],s=0,u=e.length,l=null!=t;s<u;s++)(o=e[s])&&(n&&!n(o,r,i)||(a.push(o),l&&t.push(s)));return a}function Ce(d,h,g,v,y,e){return v&&!v[S]&&(v=Ce(v)),y&&!y[S]&&(y=Ce(y,e)),le(function(e,t,n,r){var i,o,a,s=[],u=[],l=t.length,c=e||function(e,t,n){for(var r=0,i=t.length;r<i;r++)se(e,t[r],n);return n}(h||"*",n.nodeType?[n]:n,[]),f=!d||!e&&h?c:Te(c,s,d,n,r),p=g?y||(e?d:l||v)?[]:t:f;if(g&&g(f,p,n,r),v){i=Te(p,u),v(i,[],n,r),o=i.length;while(o--)(a=i[o])&&(p[u[o]]=!(f[u[o]]=a))}if(e){if(y||d){if(y){i=[],o=p.length;while(o--)(a=p[o])&&i.push(f[o]=a);y(null,p=[],i,r)}o=p.length;while(o--)(a=p[o])&&-1<(i=y?P(e,a):s[o])&&(e[i]=!(t[i]=a))}}else p=Te(p===t?p.splice(l,p.length):p),y?y(null,t,p,r):H.apply(t,p)})}function Ee(e){for(var i,t,n,r=e.length,o=b.relative[e[0].type],a=o||b.relative[" "],s=o?1:0,u=be(function(e){return e===i},a,!0),l=be(function(e){return-1<P(i,e)},a,!0),c=[function(e,t,n){var r=!o&&(n||t!==w)||((i=t).nodeType?u(e,t,n):l(e,t,n));return i=null,r}];s<r;s++)if(t=b.relative[e[s].type])c=[be(we(c),t)];else{if((t=b.filter[e[s].type].apply(null,e[s].matches))[S]){for(n=++s;n<r;n++)if(b.relative[e[n].type])break;return Ce(1<s&&we(c),1<s&&xe(e.slice(0,s-1).concat({value:" "===e[s-2].type?"*":""})).replace($,"$1"),t,s<n&&Ee(e.slice(s,n)),n<r&&Ee(e=e.slice(n)),n<r&&xe(e))}c.push(t)}return we(c)}return me.prototype=b.filters=b.pseudos,b.setFilters=new me,h=se.tokenize=function(e,t){var n,r,i,o,a,s,u,l=x[e+" "];if(l)return t?0:l.slice(0);a=e,s=[],u=b.preFilter;while(a){for(o in n&&!(r=_.exec(a))||(r&&(a=a.slice(r[0].length)||a),s.push(i=[])),n=!1,(r=z.exec(a))&&(n=r.shift(),i.push({value:n,type:r[0].replace($," ")}),a=a.slice(n.length)),b.filter)!(r=G[o].exec(a))||u[o]&&!(r=u[o](r))||(n=r.shift(),i.push({value:n,type:o,matches:r}),a=a.slice(n.length));if(!n)break}return t?a.length:a?se.error(e):x(e,s).slice(0)},f=se.compile=function(e,t){var n,v,y,m,x,r,i=[],o=[],a=A[e+" "];if(!a){t||(t=h(e)),n=t.length;while(n--)(a=Ee(t[n]))[S]?i.push(a):o.push(a);(a=A(e,(v=o,m=0<(y=i).length,x=0<v.length,r=function(e,t,n,r,i){var o,a,s,u=0,l="0",c=e&&[],f=[],p=w,d=e||x&&b.find.TAG("*",i),h=k+=null==p?1:Math.random()||.1,g=d.length;for(i&&(w=t==C||t||i);l!==g&&null!=(o=d[l]);l++){if(x&&o){a=0,t||o.ownerDocument==C||(T(o),n=!E);while(s=v[a++])if(s(o,t||C,n)){r.push(o);break}i&&(k=h)}m&&((o=!s&&o)&&u--,e&&c.push(o))}if(u+=l,m&&l!==u){a=0;while(s=y[a++])s(c,f,t,n);if(e){if(0<u)while(l--)c[l]||f[l]||(f[l]=q.call(r));f=Te(f)}H.apply(r,f),i&&!e&&0<f.length&&1<u+y.length&&se.uniqueSort(r)}return i&&(k=h,w=p),c},m?le(r):r))).selector=e}return a},g=se.select=function(e,t,n,r){var i,o,a,s,u,l="function"==typeof e&&e,c=!r&&h(e=l.selector||e);if(n=n||[],1===c.length){if(2<(o=c[0]=c[0].slice(0)).length&&"ID"===(a=o[0]).type&&9===t.nodeType&&E&&b.relative[o[1].type]){if(!(t=(b.find.ID(a.matches[0].replace(te,ne),t)||[])[0]))return n;l&&(t=t.parentNode),e=e.slice(o.shift().value.length)}i=G.needsContext.test(e)?0:o.length;while(i--){if(a=o[i],b.relative[s=a.type])break;if((u=b.find[s])&&(r=u(a.matches[0].replace(te,ne),ee.test(o[0].type)&&ye(t.parentNode)||t))){if(o.splice(i,1),!(e=r.length&&xe(o)))return H.apply(n,r),n;break}}}return(l||f(e,c))(r,t,!E,n,!t||ee.test(e)&&ye(t.parentNode)||t),n},d.sortStable=S.split("").sort(j).join("")===S,d.detectDuplicates=!!l,T(),d.sortDetached=ce(function(e){return 1&e.compareDocumentPosition(C.createElement("fieldset"))}),ce(function(e){return e.innerHTML="<a href='#'></a>","#"===e.firstChild.getAttribute("href")})||fe("type|href|height|width",function(e,t,n){if(!n)return e.getAttribute(t,"type"===t.toLowerCase()?1:2)}),d.attributes&&ce(function(e){return e.innerHTML="<input/>",e.firstChild.setAttribute("value",""),""===e.firstChild.getAttribute("value")})||fe("value",function(e,t,n){if(!n&&"input"===e.nodeName.toLowerCase())return e.defaultValue}),ce(function(e){return null==e.getAttribute("disabled")})||fe(R,function(e,t,n){var r;if(!n)return!0===e[t]?t.toLowerCase():(r=e.getAttributeNode(t))&&r.specified?r.value:null}),se}(C);S.find=d,S.expr=d.selectors,S.expr[":"]=S.expr.pseudos,S.uniqueSort=S.unique=d.uniqueSort,S.text=d.getText,S.isXMLDoc=d.isXML,S.contains=d.contains,S.escapeSelector=d.escape;var h=function(e,t,n){var r=[],i=void 0!==n;while((e=e[t])&&9!==e.nodeType)if(1===e.nodeType){if(i&&S(e).is(n))break;r.push(e)}return r},T=function(e,t){for(var n=[];e;e=e.nextSibling)1===e.nodeType&&e!==t&&n.push(e);return n},k=S.expr.match.needsContext;function A(e,t){return e.nodeName&&e.nodeName.toLowerCase()===t.toLowerCase()}var N=/^<([a-z][^\/\0>:\x20\t\r\n\f]*)[\x20\t\r\n\f]*\/?>(?:<\/\1>|)$/i;function j(e,n,r){return m(n)?S.grep(e,function(e,t){return!!n.call(e,t,e)!==r}):n.nodeType?S.grep(e,function(e){return e===n!==r}):"string"!=typeof n?S.grep(e,function(e){return-1<i.call(n,e)!==r}):S.filter(n,e,r)}S.filter=function(e,t,n){var r=t[0];return n&&(e=":not("+e+")"),1===t.length&&1===r.nodeType?S.find.matchesSelector(r,e)?[r]:[]:S.find.matches(e,S.grep(t,function(e){return 1===e.nodeType}))},S.fn.extend({find:function(e){var t,n,r=this.length,i=this;if("string"!=typeof e)return this.pushStack(S(e).filter(function(){for(t=0;t<r;t++)if(S.contains(i[t],this))return!0}));for(n=this.pushStack([]),t=0;t<r;t++)S.find(e,i[t],n);return 1<r?S.uniqueSort(n):n},filter:function(e){return this.pushStack(j(this,e||[],!1))},not:function(e){return this.pushStack(j(this,e||[],!0))},is:function(e){return!!j(this,"string"==typeof e&&k.test(e)?S(e):e||[],!1).length}});var D,q=/^(?:\s*(<[\w\W]+>)[^>]*|#([\w-]+))$/;(S.fn.init=function(e,t,n){var r,i;if(!e)return this;if(n=n||D,"string"==typeof e){if(!(r="<"===e[0]&&">"===e[e.length-1]&&3<=e.length?[null,e,null]:q.exec(e))||!r[1]&&t)return!t||t.jquery?(t||n).find(e):this.constructor(t).find(e);if(r[1]){if(t=t instanceof S?t[0]:t,S.merge(this,S.parseHTML(r[1],t&&t.nodeType?t.ownerDocument||t:E,!0)),N.test(r[1])&&S.isPlainObject(t))for(r in t)m(this[r])?this[r](t[r]):this.attr(r,t[r]);return this}return(i=E.getElementById(r[2]))&&(this[0]=i,this.length=1),this}return e.nodeType?(this[0]=e,this.length=1,this):m(e)?void 0!==n.ready?n.ready(e):e(S):S.makeArray(e,this)}).prototype=S.fn,D=S(E);var L=/^(?:parents|prev(?:Until|All))/,H={children:!0,contents:!0,next:!0,prev:!0};function O(e,t){while((e=e[t])&&1!==e.nodeType);return e}S.fn.extend({has:function(e){var t=S(e,this),n=t.length;return this.filter(function(){for(var e=0;e<n;e++)if(S.contains(this,t[e]))return!0})},closest:function(e,t){var n,r=0,i=this.length,o=[],a="string"!=typeof e&&S(e);if(!k.test(e))for(;r<i;r++)for(n=this[r];n&&n!==t;n=n.parentNode)if(n.nodeType<11&&(a?-1<a.index(n):1===n.nodeType&&S.find.matchesSelector(n,e))){o.push(n);break}return this.pushStack(1<o.length?S.uniqueSort(o):o)},index:function(e){return e?"string"==typeof e?i.call(S(e),this[0]):i.call(this,e.jquery?e[0]:e):this[0]&&this[0].parentNode?this.first().prevAll().length:-1},add:function(e,t){return this.pushStack(S.uniqueSort(S.merge(this.get(),S(e,t))))},addBack:function(e){return this.add(null==e?this.prevObject:this.prevObject.filter(e))}}),S.each({parent:function(e){var t=e.parentNode;return t&&11!==t.nodeType?t:null},parents:function(e){return h(e,"parentNode")},parentsUntil:function(e,t,n){return h(e,"parentNode",n)},next:function(e){return O(e,"nextSibling")},prev:function(e){return O(e,"previousSibling")},nextAll:function(e){return h(e,"nextSibling")},prevAll:function(e){return h(e,"previousSibling")},nextUntil:function(e,t,n){return h(e,"nextSibling",n)},prevUntil:function(e,t,n){return h(e,"previousSibling",n)},siblings:function(e){return T((e.parentNode||{}).firstChild,e)},children:function(e){return T(e.firstChild)},contents:function(e){return null!=e.contentDocument&&r(e.contentDocument)?e.contentDocument:(A(e,"template")&&(e=e.content||e),S.merge([],e.childNodes))}},function(r,i){S.fn[r]=function(e,t){var n=S.map(this,i,e);return"Until"!==r.slice(-5)&&(t=e),t&&"string"==typeof t&&(n=S.filter(t,n)),1<this.length&&(H[r]||S.uniqueSort(n),L.test(r)&&n.reverse()),this.pushStack(n)}});var P=/[^\x20\t\r\n\f]+/g;function R(e){return e}function M(e){throw e}function I(e,t,n,r){var i;try{e&&m(i=e.promise)?i.call(e).done(t).fail(n):e&&m(i=e.then)?i.call(e,t,n):t.apply(void 0,[e].slice(r))}catch(e){n.apply(void 0,[e])}}S.Callbacks=function(r){var e,n;r="string"==typeof r?(e=r,n={},S.each(e.match(P)||[],function(e,t){n[t]=!0}),n):S.extend({},r);var i,t,o,a,s=[],u=[],l=-1,c=function(){for(a=a||r.once,o=i=!0;u.length;l=-1){t=u.shift();while(++l<s.length)!1===s[l].apply(t[0],t[1])&&r.stopOnFalse&&(l=s.length,t=!1)}r.memory||(t=!1),i=!1,a&&(s=t?[]:"")},f={add:function(){return s&&(t&&!i&&(l=s.length-1,u.push(t)),function n(e){S.each(e,function(e,t){m(t)?r.unique&&f.has(t)||s.push(t):t&&t.length&&"string"!==w(t)&&n(t)})}(arguments),t&&!i&&c()),this},remove:function(){return S.each(arguments,function(e,t){var n;while(-1<(n=S.inArray(t,s,n)))s.splice(n,1),n<=l&&l--}),this},has:function(e){return e?-1<S.inArray(e,s):0<s.length},empty:function(){return s&&(s=[]),this},disable:function(){return a=u=[],s=t="",this},disabled:function(){return!s},lock:function(){return a=u=[],t||i||(s=t=""),this},locked:function(){return!!a},fireWith:function(e,t){return a||(t=[e,(t=t||[]).slice?t.slice():t],u.push(t),i||c()),this},fire:function(){return f.fireWith(this,arguments),this},fired:function(){return!!o}};return f},S.extend({Deferred:function(e){var o=[["notify","progress",S.Callbacks("memory"),S.Callbacks("memory"),2],["resolve","done",S.Callbacks("once memory"),S.Callbacks("once memory"),0,"resolved"],["reject","fail",S.Callbacks("once memory"),S.Callbacks("once memory"),1,"rejected"]],i="pending",a={state:function(){return i},always:function(){return s.done(arguments).fail(arguments),this},"catch":function(e){return a.then(null,e)},pipe:function(){var i=arguments;return S.Deferred(function(r){S.each(o,function(e,t){var n=m(i[t[4]])&&i[t[4]];s[t[1]](function(){var e=n&&n.apply(this,arguments);e&&m(e.promise)?e.promise().progress(r.notify).done(r.resolve).fail(r.reject):r[t[0]+"With"](this,n?[e]:arguments)})}),i=null}).promise()},then:function(t,n,r){var u=0;function l(i,o,a,s){return function(){var n=this,r=arguments,e=function(){var e,t;if(!(i<u)){if((e=a.apply(n,r))===o.promise())throw new TypeError("Thenable self-resolution");t=e&&("object"==typeof e||"function"==typeof e)&&e.then,m(t)?s?t.call(e,l(u,o,R,s),l(u,o,M,s)):(u++,t.call(e,l(u,o,R,s),l(u,o,M,s),l(u,o,R,o.notifyWith))):(a!==R&&(n=void 0,r=[e]),(s||o.resolveWith)(n,r))}},t=s?e:function(){try{e()}catch(e){S.Deferred.exceptionHook&&S.Deferred.exceptionHook(e,t.stackTrace),u<=i+1&&(a!==M&&(n=void 0,r=[e]),o.rejectWith(n,r))}};i?t():(S.Deferred.getStackHook&&(t.stackTrace=S.Deferred.getStackHook()),C.setTimeout(t))}}return S.Deferred(function(e){o[0][3].add(l(0,e,m(r)?r:R,e.notifyWith)),o[1][3].add(l(0,e,m(t)?t:R)),o[2][3].add(l(0,e,m(n)?n:M))}).promise()},promise:function(e){return null!=e?S.extend(e,a):a}},s={};return S.each(o,function(e,t){var n=t[2],r=t[5];a[t[1]]=n.add,r&&n.add(function(){i=r},o[3-e][2].disable,o[3-e][3].disable,o[0][2].lock,o[0][3].lock),n.add(t[3].fire),s[t[0]]=function(){return s[t[0]+"With"](this===s?void 0:this,arguments),this},s[t[0]+"With"]=n.fireWith}),a.promise(s),e&&e.call(s,s),s},when:function(e){var n=arguments.length,t=n,r=Array(t),i=s.call(arguments),o=S.Deferred(),a=function(t){return function(e){r[t]=this,i[t]=1<arguments.length?s.call(arguments):e,--n||o.resolveWith(r,i)}};if(n<=1&&(I(e,o.done(a(t)).resolve,o.reject,!n),"pending"===o.state()||m(i[t]&&i[t].then)))return o.then();while(t--)I(i[t],a(t),o.reject);return o.promise()}});var W=/^(Eval|Internal|Range|Reference|Syntax|Type|URI)Error$/;S.Deferred.exceptionHook=function(e,t){C.console&&C.console.warn&&e&&W.test(e.name)&&C.console.warn("jQuery.Deferred exception: "+e.message,e.stack,t)},S.readyException=function(e){C.setTimeout(function(){throw e})};var F=S.Deferred();function B(){E.removeEventListener("DOMContentLoaded",B),C.removeEventListener("load",B),S.ready()}S.fn.ready=function(e){return F.then(e)["catch"](function(e){S.readyException(e)}),this},S.extend({isReady:!1,readyWait:1,ready:function(e){(!0===e?--S.readyWait:S.isReady)||(S.isReady=!0)!==e&&0<--S.readyWait||F.resolveWith(E,[S])}}),S.ready.then=F.then,"complete"===E.readyState||"loading"!==E.readyState&&!E.documentElement.doScroll?C.setTimeout(S.ready):(E.addEventListener("DOMContentLoaded",B),C.addEventListener("load",B));var $=function(e,t,n,r,i,o,a){var s=0,u=e.length,l=null==n;if("object"===w(n))for(s in i=!0,n)$(e,t,s,n[s],!0,o,a);else if(void 0!==r&&(i=!0,m(r)||(a=!0),l&&(a?(t.call(e,r),t=null):(l=t,t=function(e,t,n){return l.call(S(e),n)})),t))for(;s<u;s++)t(e[s],n,a?r:r.call(e[s],s,t(e[s],n)));return i?e:l?t.call(e):u?t(e[0],n):o},_=/^-ms-/,z=/-([a-z])/g;function U(e,t){return t.toUpperCase()}function X(e){return e.replace(_,"ms-").replace(z,U)}var V=function(e){return 1===e.nodeType||9===e.nodeType||!+e.nodeType};function G(){this.expando=S.expando+G.uid++}G.uid=1,G.prototype={cache:function(e){var t=e[this.expando];return t||(t={},V(e)&&(e.nodeType?e[this.expando]=t:Object.defineProperty(e,this.expando,{value:t,configurable:!0}))),t},set:function(e,t,n){var r,i=this.cache(e);if("string"==typeof t)i[X(t)]=n;else for(r in t)i[X(r)]=t[r];return i},get:function(e,t){return void 0===t?this.cache(e):e[this.expando]&&e[this.expando][X(t)]},access:function(e,t,n){return void 0===t||t&&"string"==typeof t&&void 0===n?this.get(e,t):(this.set(e,t,n),void 0!==n?n:t)},remove:function(e,t){var n,r=e[this.expando];if(void 0!==r){if(void 0!==t){n=(t=Array.isArray(t)?t.map(X):(t=X(t))in r?[t]:t.match(P)||[]).length;while(n--)delete r[t[n]]}(void 0===t||S.isEmptyObject(r))&&(e.nodeType?e[this.expando]=void 0:delete e[this.expando])}},hasData:function(e){var t=e[this.expando];return void 0!==t&&!S.isEmptyObject(t)}};var Y=new G,Q=new G,J=/^(?:\{[\w\W]*\}|\[[\w\W]*\])$/,K=/[A-Z]/g;function Z(e,t,n){var r,i;if(void 0===n&&1===e.nodeType)if(r="data-"+t.replace(K,"-$&").toLowerCase(),"string"==typeof(n=e.getAttribute(r))){try{n="true"===(i=n)||"false"!==i&&("null"===i?null:i===+i+""?+i:J.test(i)?JSON.parse(i):i)}catch(e){}Q.set(e,t,n)}else n=void 0;return n}S.extend({hasData:function(e){return Q.hasData(e)||Y.hasData(e)},data:function(e,t,n){return Q.access(e,t,n)},removeData:function(e,t){Q.remove(e,t)},_data:function(e,t,n){return Y.access(e,t,n)},_removeData:function(e,t){Y.remove(e,t)}}),S.fn.extend({data:function(n,e){var t,r,i,o=this[0],a=o&&o.attributes;if(void 0===n){if(this.length&&(i=Q.get(o),1===o.nodeType&&!Y.get(o,"hasDataAttrs"))){t=a.length;while(t--)a[t]&&0===(r=a[t].name).indexOf("data-")&&(r=X(r.slice(5)),Z(o,r,i[r]));Y.set(o,"hasDataAttrs",!0)}return i}return"object"==typeof n?this.each(function(){Q.set(this,n)}):$(this,function(e){var t;if(o&&void 0===e)return void 0!==(t=Q.get(o,n))?t:void 0!==(t=Z(o,n))?t:void 0;this.each(function(){Q.set(this,n,e)})},null,e,1<arguments.length,null,!0)},removeData:function(e){return this.each(function(){Q.remove(this,e)})}}),S.extend({queue:function(e,t,n){var r;if(e)return t=(t||"fx")+"queue",r=Y.get(e,t),n&&(!r||Array.isArray(n)?r=Y.access(e,t,S.makeArray(n)):r.push(n)),r||[]},dequeue:function(e,t){t=t||"fx";var n=S.queue(e,t),r=n.length,i=n.shift(),o=S._queueHooks(e,t);"inprogress"===i&&(i=n.shift(),r--),i&&("fx"===t&&n.unshift("inprogress"),delete o.stop,i.call(e,function(){S.dequeue(e,t)},o)),!r&&o&&o.empty.fire()},_queueHooks:function(e,t){var n=t+"queueHooks";return Y.get(e,n)||Y.access(e,n,{empty:S.Callbacks("once memory").add(function(){Y.remove(e,[t+"queue",n])})})}}),S.fn.extend({queue:function(t,n){var e=2;return"string"!=typeof t&&(n=t,t="fx",e--),arguments.length<e?S.queue(this[0],t):void 0===n?this:this.each(function(){var e=S.queue(this,t,n);S._queueHooks(this,t),"fx"===t&&"inprogress"!==e[0]&&S.dequeue(this,t)})},dequeue:function(e){return this.each(function(){S.dequeue(this,e)})},clearQueue:function(e){return this.queue(e||"fx",[])},promise:function(e,t){var n,r=1,i=S.Deferred(),o=this,a=this.length,s=function(){--r||i.resolveWith(o,[o])};"string"!=typeof e&&(t=e,e=void 0),e=e||"fx";while(a--)(n=Y.get(o[a],e+"queueHooks"))&&n.empty&&(r++,n.empty.add(s));return s(),i.promise(t)}});var ee=/[+-]?(?:\d*\.|)\d+(?:[eE][+-]?\d+|)/.source,te=new RegExp("^(?:([+-])=|)("+ee+")([a-z%]*)$","i"),ne=["Top","Right","Bottom","Left"],re=E.documentElement,ie=function(e){return S.contains(e.ownerDocument,e)},oe={composed:!0};re.getRootNode&&(ie=function(e){return S.contains(e.ownerDocument,e)||e.getRootNode(oe)===e.ownerDocument});var ae=function(e,t){return"none"===(e=t||e).style.display||""===e.style.display&&ie(e)&&"none"===S.css(e,"display")};function se(e,t,n,r){var i,o,a=20,s=r?function(){return r.cur()}:function(){return S.css(e,t,"")},u=s(),l=n&&n[3]||(S.cssNumber[t]?"":"px"),c=e.nodeType&&(S.cssNumber[t]||"px"!==l&&+u)&&te.exec(S.css(e,t));if(c&&c[3]!==l){u/=2,l=l||c[3],c=+u||1;while(a--)S.style(e,t,c+l),(1-o)*(1-(o=s()/u||.5))<=0&&(a=0),c/=o;c*=2,S.style(e,t,c+l),n=n||[]}return n&&(c=+c||+u||0,i=n[1]?c+(n[1]+1)*n[2]:+n[2],r&&(r.unit=l,r.start=c,r.end=i)),i}var ue={};function le(e,t){for(var n,r,i,o,a,s,u,l=[],c=0,f=e.length;c<f;c++)(r=e[c]).style&&(n=r.style.display,t?("none"===n&&(l[c]=Y.get(r,"display")||null,l[c]||(r.style.display="")),""===r.style.display&&ae(r)&&(l[c]=(u=a=o=void 0,a=(i=r).ownerDocument,s=i.nodeName,(u=ue[s])||(o=a.body.appendChild(a.createElement(s)),u=S.css(o,"display"),o.parentNode.removeChild(o),"none"===u&&(u="block"),ue[s]=u)))):"none"!==n&&(l[c]="none",Y.set(r,"display",n)));for(c=0;c<f;c++)null!=l[c]&&(e[c].style.display=l[c]);return e}S.fn.extend({show:function(){return le(this,!0)},hide:function(){return le(this)},toggle:function(e){return"boolean"==typeof e?e?this.show():this.hide():this.each(function(){ae(this)?S(this).show():S(this).hide()})}});var ce,fe,pe=/^(?:checkbox|radio)$/i,de=/<([a-z][^\/\0>\x20\t\r\n\f]*)/i,he=/^$|^module$|\/(?:java|ecma)script/i;ce=E.createDocumentFragment().appendChild(E.createElement("div")),(fe=E.createElement("input")).setAttribute("type","radio"),fe.setAttribute("checked","checked"),fe.setAttribute("name","t"),ce.appendChild(fe),y.checkClone=ce.cloneNode(!0).cloneNode(!0).lastChild.checked,ce.innerHTML="<textarea>x</textarea>",y.noCloneChecked=!!ce.cloneNode(!0).lastChild.defaultValue,ce.innerHTML="<option></option>",y.option=!!ce.lastChild;var ge={thead:[1,"<table>","</table>"],col:[2,"<table><colgroup>","</colgroup></table>"],tr:[2,"<table><tbody>","</tbody></table>"],td:[3,"<table><tbody><tr>","</tr></tbody></table>"],_default:[0,"",""]};function ve(e,t){var n;return n="undefined"!=typeof e.getElementsByTagName?e.getElementsByTagName(t||"*"):"undefined"!=typeof e.querySelectorAll?e.querySelectorAll(t||"*"):[],void 0===t||t&&A(e,t)?S.merge([e],n):n}function ye(e,t){for(var n=0,r=e.length;n<r;n++)Y.set(e[n],"globalEval",!t||Y.get(t[n],"globalEval"))}ge.tbody=ge.tfoot=ge.colgroup=ge.caption=ge.thead,ge.th=ge.td,y.option||(ge.optgroup=ge.option=[1,"<select multiple='multiple'>","</select>"]);var me=/<|&#?\w+;/;function xe(e,t,n,r,i){for(var o,a,s,u,l,c,f=t.createDocumentFragment(),p=[],d=0,h=e.length;d<h;d++)if((o=e[d])||0===o)if("object"===w(o))S.merge(p,o.nodeType?[o]:o);else if(me.test(o)){a=a||f.appendChild(t.createElement("div")),s=(de.exec(o)||["",""])[1].toLowerCase(),u=ge[s]||ge._default,a.innerHTML=u[1]+S.htmlPrefilter(o)+u[2],c=u[0];while(c--)a=a.lastChild;S.merge(p,a.childNodes),(a=f.firstChild).textContent=""}else p.push(t.createTextNode(o));f.textContent="",d=0;while(o=p[d++])if(r&&-1<S.inArray(o,r))i&&i.push(o);else if(l=ie(o),a=ve(f.appendChild(o),"script"),l&&ye(a),n){c=0;while(o=a[c++])he.test(o.type||"")&&n.push(o)}return f}var be=/^([^.]*)(?:\.(.+)|)/;function we(){return!0}function Te(){return!1}function Ce(e,t){return e===function(){try{return E.activeElement}catch(e){}}()==("focus"===t)}function Ee(e,t,n,r,i,o){var a,s;if("object"==typeof t){for(s in"string"!=typeof n&&(r=r||n,n=void 0),t)Ee(e,s,n,r,t[s],o);return e}if(null==r&&null==i?(i=n,r=n=void 0):null==i&&("string"==typeof n?(i=r,r=void 0):(i=r,r=n,n=void 0)),!1===i)i=Te;else if(!i)return e;return 1===o&&(a=i,(i=function(e){return S().off(e),a.apply(this,arguments)}).guid=a.guid||(a.guid=S.guid++)),e.each(function(){S.event.add(this,t,i,r,n)})}function Se(e,i,o){o?(Y.set(e,i,!1),S.event.add(e,i,{namespace:!1,handler:function(e){var t,n,r=Y.get(this,i);if(1&e.isTrigger&&this[i]){if(r.length)(S.event.special[i]||{}).delegateType&&e.stopPropagation();else if(r=s.call(arguments),Y.set(this,i,r),t=o(this,i),this[i](),r!==(n=Y.get(this,i))||t?Y.set(this,i,!1):n={},r!==n)return e.stopImmediatePropagation(),e.preventDefault(),n&&n.value}else r.length&&(Y.set(this,i,{value:S.event.trigger(S.extend(r[0],S.Event.prototype),r.slice(1),this)}),e.stopImmediatePropagation())}})):void 0===Y.get(e,i)&&S.event.add(e,i,we)}S.event={global:{},add:function(t,e,n,r,i){var o,a,s,u,l,c,f,p,d,h,g,v=Y.get(t);if(V(t)){n.handler&&(n=(o=n).handler,i=o.selector),i&&S.find.matchesSelector(re,i),n.guid||(n.guid=S.guid++),(u=v.events)||(u=v.events=Object.create(null)),(a=v.handle)||(a=v.handle=function(e){return"undefined"!=typeof S&&S.event.triggered!==e.type?S.event.dispatch.apply(t,arguments):void 0}),l=(e=(e||"").match(P)||[""]).length;while(l--)d=g=(s=be.exec(e[l])||[])[1],h=(s[2]||"").split(".").sort(),d&&(f=S.event.special[d]||{},d=(i?f.delegateType:f.bindType)||d,f=S.event.special[d]||{},c=S.extend({type:d,origType:g,data:r,handler:n,guid:n.guid,selector:i,needsContext:i&&S.expr.match.needsContext.test(i),namespace:h.join(".")},o),(p=u[d])||((p=u[d]=[]).delegateCount=0,f.setup&&!1!==f.setup.call(t,r,h,a)||t.addEventListener&&t.addEventListener(d,a)),f.add&&(f.add.call(t,c),c.handler.guid||(c.handler.guid=n.guid)),i?p.splice(p.delegateCount++,0,c):p.push(c),S.event.global[d]=!0)}},remove:function(e,t,n,r,i){var o,a,s,u,l,c,f,p,d,h,g,v=Y.hasData(e)&&Y.get(e);if(v&&(u=v.events)){l=(t=(t||"").match(P)||[""]).length;while(l--)if(d=g=(s=be.exec(t[l])||[])[1],h=(s[2]||"").split(".").sort(),d){f=S.event.special[d]||{},p=u[d=(r?f.delegateType:f.bindType)||d]||[],s=s[2]&&new RegExp("(^|\\.)"+h.join("\\.(?:.*\\.|)")+"(\\.|$)"),a=o=p.length;while(o--)c=p[o],!i&&g!==c.origType||n&&n.guid!==c.guid||s&&!s.test(c.namespace)||r&&r!==c.selector&&("**"!==r||!c.selector)||(p.splice(o,1),c.selector&&p.delegateCount--,f.remove&&f.remove.call(e,c));a&&!p.length&&(f.teardown&&!1!==f.teardown.call(e,h,v.handle)||S.removeEvent(e,d,v.handle),delete u[d])}else for(d in u)S.event.remove(e,d+t[l],n,r,!0);S.isEmptyObject(u)&&Y.remove(e,"handle events")}},dispatch:function(e){var t,n,r,i,o,a,s=new Array(arguments.length),u=S.event.fix(e),l=(Y.get(this,"events")||Object.create(null))[u.type]||[],c=S.event.special[u.type]||{};for(s[0]=u,t=1;t<arguments.length;t++)s[t]=arguments[t];if(u.delegateTarget=this,!c.preDispatch||!1!==c.preDispatch.call(this,u)){a=S.event.handlers.call(this,u,l),t=0;while((i=a[t++])&&!u.isPropagationStopped()){u.currentTarget=i.elem,n=0;while((o=i.handlers[n++])&&!u.isImmediatePropagationStopped())u.rnamespace&&!1!==o.namespace&&!u.rnamespace.test(o.namespace)||(u.handleObj=o,u.data=o.data,void 0!==(r=((S.event.special[o.origType]||{}).handle||o.handler).apply(i.elem,s))&&!1===(u.result=r)&&(u.preventDefault(),u.stopPropagation()))}return c.postDispatch&&c.postDispatch.call(this,u),u.result}},handlers:function(e,t){var n,r,i,o,a,s=[],u=t.delegateCount,l=e.target;if(u&&l.nodeType&&!("click"===e.type&&1<=e.button))for(;l!==this;l=l.parentNode||this)if(1===l.nodeType&&("click"!==e.type||!0!==l.disabled)){for(o=[],a={},n=0;n<u;n++)void 0===a[i=(r=t[n]).selector+" "]&&(a[i]=r.needsContext?-1<S(i,this).index(l):S.find(i,this,null,[l]).length),a[i]&&o.push(r);o.length&&s.push({elem:l,handlers:o})}return l=this,u<t.length&&s.push({elem:l,handlers:t.slice(u)}),s},addProp:function(t,e){Object.defineProperty(S.Event.prototype,t,{enumerable:!0,configurable:!0,get:m(e)?function(){if(this.originalEvent)return e(this.originalEvent)}:function(){if(this.originalEvent)return this.originalEvent[t]},set:function(e){Object.defineProperty(this,t,{enumerable:!0,configurable:!0,writable:!0,value:e})}})},fix:function(e){return e[S.expando]?e:new S.Event(e)},special:{load:{noBubble:!0},click:{setup:function(e){var t=this||e;return pe.test(t.type)&&t.click&&A(t,"input")&&Se(t,"click",we),!1},trigger:function(e){var t=this||e;return pe.test(t.type)&&t.click&&A(t,"input")&&Se(t,"click"),!0},_default:function(e){var t=e.target;return pe.test(t.type)&&t.click&&A(t,"input")&&Y.get(t,"click")||A(t,"a")}},beforeunload:{postDispatch:function(e){void 0!==e.result&&e.originalEvent&&(e.originalEvent.returnValue=e.result)}}}},S.removeEvent=function(e,t,n){e.removeEventListener&&e.removeEventListener(t,n)},S.Event=function(e,t){if(!(this instanceof S.Event))return new S.Event(e,t);e&&e.type?(this.originalEvent=e,this.type=e.type,this.isDefaultPrevented=e.defaultPrevented||void 0===e.defaultPrevented&&!1===e.returnValue?we:Te,this.target=e.target&&3===e.target.nodeType?e.target.parentNode:e.target,this.currentTarget=e.currentTarget,this.relatedTarget=e.relatedTarget):this.type=e,t&&S.extend(this,t),this.timeStamp=e&&e.timeStamp||Date.now(),this[S.expando]=!0},S.Event.prototype={constructor:S.Event,isDefaultPrevented:Te,isPropagationStopped:Te,isImmediatePropagationStopped:Te,isSimulated:!1,preventDefault:function(){var e=this.originalEvent;this.isDefaultPrevented=we,e&&!this.isSimulated&&e.preventDefault()},stopPropagation:function(){var e=this.originalEvent;this.isPropagationStopped=we,e&&!this.isSimulated&&e.stopPropagation()},stopImmediatePropagation:function(){var e=this.originalEvent;this.isImmediatePropagationStopped=we,e&&!this.isSimulated&&e.stopImmediatePropagation(),this.stopPropagation()}},S.each({altKey:!0,bubbles:!0,cancelable:!0,changedTouches:!0,ctrlKey:!0,detail:!0,eventPhase:!0,metaKey:!0,pageX:!0,pageY:!0,shiftKey:!0,view:!0,"char":!0,code:!0,charCode:!0,key:!0,keyCode:!0,button:!0,buttons:!0,clientX:!0,clientY:!0,offsetX:!0,offsetY:!0,pointerId:!0,pointerType:!0,screenX:!0,screenY:!0,targetTouches:!0,toElement:!0,touches:!0,which:!0},S.event.addProp),S.each({focus:"focusin",blur:"focusout"},function(e,t){S.event.special[e]={setup:function(){return Se(this,e,Ce),!1},trigger:function(){return Se(this,e),!0},_default:function(){return!0},delegateType:t}}),S.each({mouseenter:"mouseover",mouseleave:"mouseout",pointerenter:"pointerover",pointerleave:"pointerout"},function(e,i){S.event.special[e]={delegateType:i,bindType:i,handle:function(e){var t,n=e.relatedTarget,r=e.handleObj;return n&&(n===this||S.contains(this,n))||(e.type=r.origType,t=r.handler.apply(this,arguments),e.type=i),t}}}),S.fn.extend({on:function(e,t,n,r){return Ee(this,e,t,n,r)},one:function(e,t,n,r){return Ee(this,e,t,n,r,1)},off:function(e,t,n){var r,i;if(e&&e.preventDefault&&e.handleObj)return r=e.handleObj,S(e.delegateTarget).off(r.namespace?r.origType+"."+r.namespace:r.origType,r.selector,r.handler),this;if("object"==typeof e){for(i in e)this.off(i,t,e[i]);return this}return!1!==t&&"function"!=typeof t||(n=t,t=void 0),!1===n&&(n=Te),this.each(function(){S.event.remove(this,e,n,t)})}});var ke=/<script|<style|<link/i,Ae=/checked\s*(?:[^=]|=\s*.checked.)/i,Ne=/^\s*<!(?:\[CDATA\[|--)|(?:\]\]|--)>\s*$/g;function je(e,t){return A(e,"table")&&A(11!==t.nodeType?t:t.firstChild,"tr")&&S(e).children("tbody")[0]||e}function De(e){return e.type=(null!==e.getAttribute("type"))+"/"+e.type,e}function qe(e){return"true/"===(e.type||"").slice(0,5)?e.type=e.type.slice(5):e.removeAttribute("type"),e}function Le(e,t){var n,r,i,o,a,s;if(1===t.nodeType){if(Y.hasData(e)&&(s=Y.get(e).events))for(i in Y.remove(t,"handle events"),s)for(n=0,r=s[i].length;n<r;n++)S.event.add(t,i,s[i][n]);Q.hasData(e)&&(o=Q.access(e),a=S.extend({},o),Q.set(t,a))}}function He(n,r,i,o){r=g(r);var e,t,a,s,u,l,c=0,f=n.length,p=f-1,d=r[0],h=m(d);if(h||1<f&&"string"==typeof d&&!y.checkClone&&Ae.test(d))return n.each(function(e){var t=n.eq(e);h&&(r[0]=d.call(this,e,t.html())),He(t,r,i,o)});if(f&&(t=(e=xe(r,n[0].ownerDocument,!1,n,o)).firstChild,1===e.childNodes.length&&(e=t),t||o)){for(s=(a=S.map(ve(e,"script"),De)).length;c<f;c++)u=e,c!==p&&(u=S.clone(u,!0,!0),s&&S.merge(a,ve(u,"script"))),i.call(n[c],u,c);if(s)for(l=a[a.length-1].ownerDocument,S.map(a,qe),c=0;c<s;c++)u=a[c],he.test(u.type||"")&&!Y.access(u,"globalEval")&&S.contains(l,u)&&(u.src&&"module"!==(u.type||"").toLowerCase()?S._evalUrl&&!u.noModule&&S._evalUrl(u.src,{nonce:u.nonce||u.getAttribute("nonce")},l):b(u.textContent.replace(Ne,""),u,l))}return n}function Oe(e,t,n){for(var r,i=t?S.filter(t,e):e,o=0;null!=(r=i[o]);o++)n||1!==r.nodeType||S.cleanData(ve(r)),r.parentNode&&(n&&ie(r)&&ye(ve(r,"script")),r.parentNode.removeChild(r));return e}S.extend({htmlPrefilter:function(e){return e},clone:function(e,t,n){var r,i,o,a,s,u,l,c=e.cloneNode(!0),f=ie(e);if(!(y.noCloneChecked||1!==e.nodeType&&11!==e.nodeType||S.isXMLDoc(e)))for(a=ve(c),r=0,i=(o=ve(e)).length;r<i;r++)s=o[r],u=a[r],void 0,"input"===(l=u.nodeName.toLowerCase())&&pe.test(s.type)?u.checked=s.checked:"input"!==l&&"textarea"!==l||(u.defaultValue=s.defaultValue);if(t)if(n)for(o=o||ve(e),a=a||ve(c),r=0,i=o.length;r<i;r++)Le(o[r],a[r]);else Le(e,c);return 0<(a=ve(c,"script")).length&&ye(a,!f&&ve(e,"script")),c},cleanData:function(e){for(var t,n,r,i=S.event.special,o=0;void 0!==(n=e[o]);o++)if(V(n)){if(t=n[Y.expando]){if(t.events)for(r in t.events)i[r]?S.event.remove(n,r):S.removeEvent(n,r,t.handle);n[Y.expando]=void 0}n[Q.expando]&&(n[Q.expando]=void 0)}}}),S.fn.extend({detach:function(e){return Oe(this,e,!0)},remove:function(e){return Oe(this,e)},text:function(e){return $(this,function(e){return void 0===e?S.text(this):this.empty().each(function(){1!==this.nodeType&&11!==this.nodeType&&9!==this.nodeType||(this.textContent=e)})},null,e,arguments.length)},append:function(){return He(this,arguments,function(e){1!==this.nodeType&&11!==this.nodeType&&9!==this.nodeType||je(this,e).appendChild(e)})},prepend:function(){return He(this,arguments,function(e){if(1===this.nodeType||11===this.nodeType||9===this.nodeType){var t=je(this,e);t.insertBefore(e,t.firstChild)}})},before:function(){return He(this,arguments,function(e){this.parentNode&&this.parentNode.insertBefore(e,this)})},after:function(){return He(this,arguments,function(e){this.parentNode&&this.parentNode.insertBefore(e,this.nextSibling)})},empty:function(){for(var e,t=0;null!=(e=this[t]);t++)1===e.nodeType&&(S.cleanData(ve(e,!1)),e.textContent="");return this},clone:function(e,t){return e=null!=e&&e,t=null==t?e:t,this.map(function(){return S.clone(this,e,t)})},html:function(e){return $(this,function(e){var t=this[0]||{},n=0,r=this.length;if(void 0===e&&1===t.nodeType)return t.innerHTML;if("string"==typeof e&&!ke.test(e)&&!ge[(de.exec(e)||["",""])[1].toLowerCase()]){e=S.htmlPrefilter(e);try{for(;n<r;n++)1===(t=this[n]||{}).nodeType&&(S.cleanData(ve(t,!1)),t.innerHTML=e);t=0}catch(e){}}t&&this.empty().append(e)},null,e,arguments.length)},replaceWith:function(){var n=[];return He(this,arguments,function(e){var t=this.parentNode;S.inArray(this,n)<0&&(S.cleanData(ve(this)),t&&t.replaceChild(e,this))},n)}}),S.each({appendTo:"append",prependTo:"prepend",insertBefore:"before",insertAfter:"after",replaceAll:"replaceWith"},function(e,a){S.fn[e]=function(e){for(var t,n=[],r=S(e),i=r.length-1,o=0;o<=i;o++)t=o===i?this:this.clone(!0),S(r[o])[a](t),u.apply(n,t.get());return this.pushStack(n)}});var Pe=new RegExp("^("+ee+")(?!px)[a-z%]+$","i"),Re=function(e){var t=e.ownerDocument.defaultView;return t&&t.opener||(t=C),t.getComputedStyle(e)},Me=function(e,t,n){var r,i,o={};for(i in t)o[i]=e.style[i],e.style[i]=t[i];for(i in r=n.call(e),t)e.style[i]=o[i];return r},Ie=new RegExp(ne.join("|"),"i");function We(e,t,n){var r,i,o,a,s=e.style;return(n=n||Re(e))&&(""!==(a=n.getPropertyValue(t)||n[t])||ie(e)||(a=S.style(e,t)),!y.pixelBoxStyles()&&Pe.test(a)&&Ie.test(t)&&(r=s.width,i=s.minWidth,o=s.maxWidth,s.minWidth=s.maxWidth=s.width=a,a=n.width,s.width=r,s.minWidth=i,s.maxWidth=o)),void 0!==a?a+"":a}function Fe(e,t){return{get:function(){if(!e())return(this.get=t).apply(this,arguments);delete this.get}}}!function(){function e(){if(l){u.style.cssText="position:absolute;left:-11111px;width:60px;margin-top:1px;padding:0;border:0",l.style.cssText="position:relative;display:block;box-sizing:border-box;overflow:scroll;margin:auto;border:1px;padding:1px;width:60%;top:1%",re.appendChild(u).appendChild(l);var e=C.getComputedStyle(l);n="1%"!==e.top,s=12===t(e.marginLeft),l.style.right="60%",o=36===t(e.right),r=36===t(e.width),l.style.position="absolute",i=12===t(l.offsetWidth/3),re.removeChild(u),l=null}}function t(e){return Math.round(parseFloat(e))}var n,r,i,o,a,s,u=E.createElement("div"),l=E.createElement("div");l.style&&(l.style.backgroundClip="content-box",l.cloneNode(!0).style.backgroundClip="",y.clearCloneStyle="content-box"===l.style.backgroundClip,S.extend(y,{boxSizingReliable:function(){return e(),r},pixelBoxStyles:function(){return e(),o},pixelPosition:function(){return e(),n},reliableMarginLeft:function(){return e(),s},scrollboxSize:function(){return e(),i},reliableTrDimensions:function(){var e,t,n,r;return null==a&&(e=E.createElement("table"),t=E.createElement("tr"),n=E.createElement("div"),e.style.cssText="position:absolute;left:-11111px;border-collapse:separate",t.style.cssText="border:1px solid",t.style.height="1px",n.style.height="9px",n.style.display="block",re.appendChild(e).appendChild(t).appendChild(n),r=C.getComputedStyle(t),a=parseInt(r.height,10)+parseInt(r.borderTopWidth,10)+parseInt(r.borderBottomWidth,10)===t.offsetHeight,re.removeChild(e)),a}}))}();var Be=["Webkit","Moz","ms"],$e=E.createElement("div").style,_e={};function ze(e){var t=S.cssProps[e]||_e[e];return t||(e in $e?e:_e[e]=function(e){var t=e[0].toUpperCase()+e.slice(1),n=Be.length;while(n--)if((e=Be[n]+t)in $e)return e}(e)||e)}var Ue=/^(none|table(?!-c[ea]).+)/,Xe=/^--/,Ve={position:"absolute",visibility:"hidden",display:"block"},Ge={letterSpacing:"0",fontWeight:"400"};function Ye(e,t,n){var r=te.exec(t);return r?Math.max(0,r[2]-(n||0))+(r[3]||"px"):t}function Qe(e,t,n,r,i,o){var a="width"===t?1:0,s=0,u=0;if(n===(r?"border":"content"))return 0;for(;a<4;a+=2)"margin"===n&&(u+=S.css(e,n+ne[a],!0,i)),r?("content"===n&&(u-=S.css(e,"padding"+ne[a],!0,i)),"margin"!==n&&(u-=S.css(e,"border"+ne[a]+"Width",!0,i))):(u+=S.css(e,"padding"+ne[a],!0,i),"padding"!==n?u+=S.css(e,"border"+ne[a]+"Width",!0,i):s+=S.css(e,"border"+ne[a]+"Width",!0,i));return!r&&0<=o&&(u+=Math.max(0,Math.ceil(e["offset"+t[0].toUpperCase()+t.slice(1)]-o-u-s-.5))||0),u}function Je(e,t,n){var r=Re(e),i=(!y.boxSizingReliable()||n)&&"border-box"===S.css(e,"boxSizing",!1,r),o=i,a=We(e,t,r),s="offset"+t[0].toUpperCase()+t.slice(1);if(Pe.test(a)){if(!n)return a;a="auto"}return(!y.boxSizingReliable()&&i||!y.reliableTrDimensions()&&A(e,"tr")||"auto"===a||!parseFloat(a)&&"inline"===S.css(e,"display",!1,r))&&e.getClientRects().length&&(i="border-box"===S.css(e,"boxSizing",!1,r),(o=s in e)&&(a=e[s])),(a=parseFloat(a)||0)+Qe(e,t,n||(i?"border":"content"),o,r,a)+"px"}function Ke(e,t,n,r,i){return new Ke.prototype.init(e,t,n,r,i)}S.extend({cssHooks:{opacity:{get:function(e,t){if(t){var n=We(e,"opacity");return""===n?"1":n}}}},cssNumber:{animationIterationCount:!0,columnCount:!0,fillOpacity:!0,flexGrow:!0,flexShrink:!0,fontWeight:!0,gridArea:!0,gridColumn:!0,gridColumnEnd:!0,gridColumnStart:!0,gridRow:!0,gridRowEnd:!0,gridRowStart:!0,lineHeight:!0,opacity:!0,order:!0,orphans:!0,widows:!0,zIndex:!0,zoom:!0},cssProps:{},style:function(e,t,n,r){if(e&&3!==e.nodeType&&8!==e.nodeType&&e.style){var i,o,a,s=X(t),u=Xe.test(t),l=e.style;if(u||(t=ze(s)),a=S.cssHooks[t]||S.cssHooks[s],void 0===n)return a&&"get"in a&&void 0!==(i=a.get(e,!1,r))?i:l[t];"string"===(o=typeof n)&&(i=te.exec(n))&&i[1]&&(n=se(e,t,i),o="number"),null!=n&&n==n&&("number"!==o||u||(n+=i&&i[3]||(S.cssNumber[s]?"":"px")),y.clearCloneStyle||""!==n||0!==t.indexOf("background")||(l[t]="inherit"),a&&"set"in a&&void 0===(n=a.set(e,n,r))||(u?l.setProperty(t,n):l[t]=n))}},css:function(e,t,n,r){var i,o,a,s=X(t);return Xe.test(t)||(t=ze(s)),(a=S.cssHooks[t]||S.cssHooks[s])&&"get"in a&&(i=a.get(e,!0,n)),void 0===i&&(i=We(e,t,r)),"normal"===i&&t in Ge&&(i=Ge[t]),""===n||n?(o=parseFloat(i),!0===n||isFinite(o)?o||0:i):i}}),S.each(["height","width"],function(e,u){S.cssHooks[u]={get:function(e,t,n){if(t)return!Ue.test(S.css(e,"display"))||e.getClientRects().length&&e.getBoundingClientRect().width?Je(e,u,n):Me(e,Ve,function(){return Je(e,u,n)})},set:function(e,t,n){var r,i=Re(e),o=!y.scrollboxSize()&&"absolute"===i.position,a=(o||n)&&"border-box"===S.css(e,"boxSizing",!1,i),s=n?Qe(e,u,n,a,i):0;return a&&o&&(s-=Math.ceil(e["offset"+u[0].toUpperCase()+u.slice(1)]-parseFloat(i[u])-Qe(e,u,"border",!1,i)-.5)),s&&(r=te.exec(t))&&"px"!==(r[3]||"px")&&(e.style[u]=t,t=S.css(e,u)),Ye(0,t,s)}}}),S.cssHooks.marginLeft=Fe(y.reliableMarginLeft,function(e,t){if(t)return(parseFloat(We(e,"marginLeft"))||e.getBoundingClientRect().left-Me(e,{marginLeft:0},function(){return e.getBoundingClientRect().left}))+"px"}),S.each({margin:"",padding:"",border:"Width"},function(i,o){S.cssHooks[i+o]={expand:function(e){for(var t=0,n={},r="string"==typeof e?e.split(" "):[e];t<4;t++)n[i+ne[t]+o]=r[t]||r[t-2]||r[0];return n}},"margin"!==i&&(S.cssHooks[i+o].set=Ye)}),S.fn.extend({css:function(e,t){return $(this,function(e,t,n){var r,i,o={},a=0;if(Array.isArray(t)){for(r=Re(e),i=t.length;a<i;a++)o[t[a]]=S.css(e,t[a],!1,r);return o}return void 0!==n?S.style(e,t,n):S.css(e,t)},e,t,1<arguments.length)}}),((S.Tween=Ke).prototype={constructor:Ke,init:function(e,t,n,r,i,o){this.elem=e,this.prop=n,this.easing=i||S.easing._default,this.options=t,this.start=this.now=this.cur(),this.end=r,this.unit=o||(S.cssNumber[n]?"":"px")},cur:function(){var e=Ke.propHooks[this.prop];return e&&e.get?e.get(this):Ke.propHooks._default.get(this)},run:function(e){var t,n=Ke.propHooks[this.prop];return this.options.duration?this.pos=t=S.easing[this.easing](e,this.options.duration*e,0,1,this.options.duration):this.pos=t=e,this.now=(this.end-this.start)*t+this.start,this.options.step&&this.options.step.call(this.elem,this.now,this),n&&n.set?n.set(this):Ke.propHooks._default.set(this),this}}).init.prototype=Ke.prototype,(Ke.propHooks={_default:{get:function(e){var t;return 1!==e.elem.nodeType||null!=e.elem[e.prop]&&null==e.elem.style[e.prop]?e.elem[e.prop]:(t=S.css(e.elem,e.prop,""))&&"auto"!==t?t:0},set:function(e){S.fx.step[e.prop]?S.fx.step[e.prop](e):1!==e.elem.nodeType||!S.cssHooks[e.prop]&&null==e.elem.style[ze(e.prop)]?e.elem[e.prop]=e.now:S.style(e.elem,e.prop,e.now+e.unit)}}}).scrollTop=Ke.propHooks.scrollLeft={set:function(e){e.elem.nodeType&&e.elem.parentNode&&(e.elem[e.prop]=e.now)}},S.easing={linear:function(e){return e},swing:function(e){return.5-Math.cos(e*Math.PI)/2},_default:"swing"},S.fx=Ke.prototype.init,S.fx.step={};var Ze,et,tt,nt,rt=/^(?:toggle|show|hide)$/,it=/queueHooks$/;function ot(){et&&(!1===E.hidden&&C.requestAnimationFrame?C.requestAnimationFrame(ot):C.setTimeout(ot,S.fx.interval),S.fx.tick())}function at(){return C.setTimeout(function(){Ze=void 0}),Ze=Date.now()}function st(e,t){var n,r=0,i={height:e};for(t=t?1:0;r<4;r+=2-t)i["margin"+(n=ne[r])]=i["padding"+n]=e;return t&&(i.opacity=i.width=e),i}function ut(e,t,n){for(var r,i=(lt.tweeners[t]||[]).concat(lt.tweeners["*"]),o=0,a=i.length;o<a;o++)if(r=i[o].call(n,t,e))return r}function lt(o,e,t){var n,a,r=0,i=lt.prefilters.length,s=S.Deferred().always(function(){delete u.elem}),u=function(){if(a)return!1;for(var e=Ze||at(),t=Math.max(0,l.startTime+l.duration-e),n=1-(t/l.duration||0),r=0,i=l.tweens.length;r<i;r++)l.tweens[r].run(n);return s.notifyWith(o,[l,n,t]),n<1&&i?t:(i||s.notifyWith(o,[l,1,0]),s.resolveWith(o,[l]),!1)},l=s.promise({elem:o,props:S.extend({},e),opts:S.extend(!0,{specialEasing:{},easing:S.easing._default},t),originalProperties:e,originalOptions:t,startTime:Ze||at(),duration:t.duration,tweens:[],createTween:function(e,t){var n=S.Tween(o,l.opts,e,t,l.opts.specialEasing[e]||l.opts.easing);return l.tweens.push(n),n},stop:function(e){var t=0,n=e?l.tweens.length:0;if(a)return this;for(a=!0;t<n;t++)l.tweens[t].run(1);return e?(s.notifyWith(o,[l,1,0]),s.resolveWith(o,[l,e])):s.rejectWith(o,[l,e]),this}}),c=l.props;for(!function(e,t){var n,r,i,o,a;for(n in e)if(i=t[r=X(n)],o=e[n],Array.isArray(o)&&(i=o[1],o=e[n]=o[0]),n!==r&&(e[r]=o,delete e[n]),(a=S.cssHooks[r])&&"expand"in a)for(n in o=a.expand(o),delete e[r],o)n in e||(e[n]=o[n],t[n]=i);else t[r]=i}(c,l.opts.specialEasing);r<i;r++)if(n=lt.prefilters[r].call(l,o,c,l.opts))return m(n.stop)&&(S._queueHooks(l.elem,l.opts.queue).stop=n.stop.bind(n)),n;return S.map(c,ut,l),m(l.opts.start)&&l.opts.start.call(o,l),l.progress(l.opts.progress).done(l.opts.done,l.opts.complete).fail(l.opts.fail).always(l.opts.always),S.fx.timer(S.extend(u,{elem:o,anim:l,queue:l.opts.queue})),l}S.Animation=S.extend(lt,{tweeners:{"*":[function(e,t){var n=this.createTween(e,t);return se(n.elem,e,te.exec(t),n),n}]},tweener:function(e,t){m(e)?(t=e,e=["*"]):e=e.match(P);for(var n,r=0,i=e.length;r<i;r++)n=e[r],lt.tweeners[n]=lt.tweeners[n]||[],lt.tweeners[n].unshift(t)},prefilters:[function(e,t,n){var r,i,o,a,s,u,l,c,f="width"in t||"height"in t,p=this,d={},h=e.style,g=e.nodeType&&ae(e),v=Y.get(e,"fxshow");for(r in n.queue||(null==(a=S._queueHooks(e,"fx")).unqueued&&(a.unqueued=0,s=a.empty.fire,a.empty.fire=function(){a.unqueued||s()}),a.unqueued++,p.always(function(){p.always(function(){a.unqueued--,S.queue(e,"fx").length||a.empty.fire()})})),t)if(i=t[r],rt.test(i)){if(delete t[r],o=o||"toggle"===i,i===(g?"hide":"show")){if("show"!==i||!v||void 0===v[r])continue;g=!0}d[r]=v&&v[r]||S.style(e,r)}if((u=!S.isEmptyObject(t))||!S.isEmptyObject(d))for(r in f&&1===e.nodeType&&(n.overflow=[h.overflow,h.overflowX,h.overflowY],null==(l=v&&v.display)&&(l=Y.get(e,"display")),"none"===(c=S.css(e,"display"))&&(l?c=l:(le([e],!0),l=e.style.display||l,c=S.css(e,"display"),le([e]))),("inline"===c||"inline-block"===c&&null!=l)&&"none"===S.css(e,"float")&&(u||(p.done(function(){h.display=l}),null==l&&(c=h.display,l="none"===c?"":c)),h.display="inline-block")),n.overflow&&(h.overflow="hidden",p.always(function(){h.overflow=n.overflow[0],h.overflowX=n.overflow[1],h.overflowY=n.overflow[2]})),u=!1,d)u||(v?"hidden"in v&&(g=v.hidden):v=Y.access(e,"fxshow",{display:l}),o&&(v.hidden=!g),g&&le([e],!0),p.done(function(){for(r in g||le([e]),Y.remove(e,"fxshow"),d)S.style(e,r,d[r])})),u=ut(g?v[r]:0,r,p),r in v||(v[r]=u.start,g&&(u.end=u.start,u.start=0))}],prefilter:function(e,t){t?lt.prefilters.unshift(e):lt.prefilters.push(e)}}),S.speed=function(e,t,n){var r=e&&"object"==typeof e?S.extend({},e):{complete:n||!n&&t||m(e)&&e,duration:e,easing:n&&t||t&&!m(t)&&t};return S.fx.off?r.duration=0:"number"!=typeof r.duration&&(r.duration in S.fx.speeds?r.duration=S.fx.speeds[r.duration]:r.duration=S.fx.speeds._default),null!=r.queue&&!0!==r.queue||(r.queue="fx"),r.old=r.complete,r.complete=function(){m(r.old)&&r.old.call(this),r.queue&&S.dequeue(this,r.queue)},r},S.fn.extend({fadeTo:function(e,t,n,r){return this.filter(ae).css("opacity",0).show().end().animate({opacity:t},e,n,r)},animate:function(t,e,n,r){var i=S.isEmptyObject(t),o=S.speed(e,n,r),a=function(){var e=lt(this,S.extend({},t),o);(i||Y.get(this,"finish"))&&e.stop(!0)};return a.finish=a,i||!1===o.queue?this.each(a):this.queue(o.queue,a)},stop:function(i,e,o){var a=function(e){var t=e.stop;delete e.stop,t(o)};return"string"!=typeof i&&(o=e,e=i,i=void 0),e&&this.queue(i||"fx",[]),this.each(function(){var e=!0,t=null!=i&&i+"queueHooks",n=S.timers,r=Y.get(this);if(t)r[t]&&r[t].stop&&a(r[t]);else for(t in r)r[t]&&r[t].stop&&it.test(t)&&a(r[t]);for(t=n.length;t--;)n[t].elem!==this||null!=i&&n[t].queue!==i||(n[t].anim.stop(o),e=!1,n.splice(t,1));!e&&o||S.dequeue(this,i)})},finish:function(a){return!1!==a&&(a=a||"fx"),this.each(function(){var e,t=Y.get(this),n=t[a+"queue"],r=t[a+"queueHooks"],i=S.timers,o=n?n.length:0;for(t.finish=!0,S.queue(this,a,[]),r&&r.stop&&r.stop.call(this,!0),e=i.length;e--;)i[e].elem===this&&i[e].queue===a&&(i[e].anim.stop(!0),i.splice(e,1));for(e=0;e<o;e++)n[e]&&n[e].finish&&n[e].finish.call(this);delete t.finish})}}),S.each(["toggle","show","hide"],function(e,r){var i=S.fn[r];S.fn[r]=function(e,t,n){return null==e||"boolean"==typeof e?i.apply(this,arguments):this.animate(st(r,!0),e,t,n)}}),S.each({slideDown:st("show"),slideUp:st("hide"),slideToggle:st("toggle"),fadeIn:{opacity:"show"},fadeOut:{opacity:"hide"},fadeToggle:{opacity:"toggle"}},function(e,r){S.fn[e]=function(e,t,n){return this.animate(r,e,t,n)}}),S.timers=[],S.fx.tick=function(){var e,t=0,n=S.timers;for(Ze=Date.now();t<n.length;t++)(e=n[t])()||n[t]!==e||n.splice(t--,1);n.length||S.fx.stop(),Ze=void 0},S.fx.timer=function(e){S.timers.push(e),S.fx.start()},S.fx.interval=13,S.fx.start=function(){et||(et=!0,ot())},S.fx.stop=function(){et=null},S.fx.speeds={slow:600,fast:200,_default:400},S.fn.delay=function(r,e){return r=S.fx&&S.fx.speeds[r]||r,e=e||"fx",this.queue(e,function(e,t){var n=C.setTimeout(e,r);t.stop=function(){C.clearTimeout(n)}})},tt=E.createElement("input"),nt=E.createElement("select").appendChild(E.createElement("option")),tt.type="checkbox",y.checkOn=""!==tt.value,y.optSelected=nt.selected,(tt=E.createElement("input")).value="t",tt.type="radio",y.radioValue="t"===tt.value;var ct,ft=S.expr.attrHandle;S.fn.extend({attr:function(e,t){return $(this,S.attr,e,t,1<arguments.length)},removeAttr:function(e){return this.each(function(){S.removeAttr(this,e)})}}),S.extend({attr:function(e,t,n){var r,i,o=e.nodeType;if(3!==o&&8!==o&&2!==o)return"undefined"==typeof e.getAttribute?S.prop(e,t,n):(1===o&&S.isXMLDoc(e)||(i=S.attrHooks[t.toLowerCase()]||(S.expr.match.bool.test(t)?ct:void 0)),void 0!==n?null===n?void S.removeAttr(e,t):i&&"set"in i&&void 0!==(r=i.set(e,n,t))?r:(e.setAttribute(t,n+""),n):i&&"get"in i&&null!==(r=i.get(e,t))?r:null==(r=S.find.attr(e,t))?void 0:r)},attrHooks:{type:{set:function(e,t){if(!y.radioValue&&"radio"===t&&A(e,"input")){var n=e.value;return e.setAttribute("type",t),n&&(e.value=n),t}}}},removeAttr:function(e,t){var n,r=0,i=t&&t.match(P);if(i&&1===e.nodeType)while(n=i[r++])e.removeAttribute(n)}}),ct={set:function(e,t,n){return!1===t?S.removeAttr(e,n):e.setAttribute(n,n),n}},S.each(S.expr.match.bool.source.match(/\w+/g),function(e,t){var a=ft[t]||S.find.attr;ft[t]=function(e,t,n){var r,i,o=t.toLowerCase();return n||(i=ft[o],ft[o]=r,r=null!=a(e,t,n)?o:null,ft[o]=i),r}});var pt=/^(?:input|select|textarea|button)$/i,dt=/^(?:a|area)$/i;function ht(e){return(e.match(P)||[]).join(" ")}function gt(e){return e.getAttribute&&e.getAttribute("class")||""}function vt(e){return Array.isArray(e)?e:"string"==typeof e&&e.match(P)||[]}S.fn.extend({prop:function(e,t){return $(this,S.prop,e,t,1<arguments.length)},removeProp:function(e){return this.each(function(){delete this[S.propFix[e]||e]})}}),S.extend({prop:function(e,t,n){var r,i,o=e.nodeType;if(3!==o&&8!==o&&2!==o)return 1===o&&S.isXMLDoc(e)||(t=S.propFix[t]||t,i=S.propHooks[t]),void 0!==n?i&&"set"in i&&void 0!==(r=i.set(e,n,t))?r:e[t]=n:i&&"get"in i&&null!==(r=i.get(e,t))?r:e[t]},propHooks:{tabIndex:{get:function(e){var t=S.find.attr(e,"tabindex");return t?parseInt(t,10):pt.test(e.nodeName)||dt.test(e.nodeName)&&e.href?0:-1}}},propFix:{"for":"htmlFor","class":"className"}}),y.optSelected||(S.propHooks.selected={get:function(e){var t=e.parentNode;return t&&t.parentNode&&t.parentNode.selectedIndex,null},set:function(e){var t=e.parentNode;t&&(t.selectedIndex,t.parentNode&&t.parentNode.selectedIndex)}}),S.each(["tabIndex","readOnly","maxLength","cellSpacing","cellPadding","rowSpan","colSpan","useMap","frameBorder","contentEditable"],function(){S.propFix[this.toLowerCase()]=this}),S.fn.extend({addClass:function(t){var e,n,r,i,o,a,s,u=0;if(m(t))return this.each(function(e){S(this).addClass(t.call(this,e,gt(this)))});if((e=vt(t)).length)while(n=this[u++])if(i=gt(n),r=1===n.nodeType&&" "+ht(i)+" "){a=0;while(o=e[a++])r.indexOf(" "+o+" ")<0&&(r+=o+" ");i!==(s=ht(r))&&n.setAttribute("class",s)}return this},removeClass:function(t){var e,n,r,i,o,a,s,u=0;if(m(t))return this.each(function(e){S(this).removeClass(t.call(this,e,gt(this)))});if(!arguments.length)return this.attr("class","");if((e=vt(t)).length)while(n=this[u++])if(i=gt(n),r=1===n.nodeType&&" "+ht(i)+" "){a=0;while(o=e[a++])while(-1<r.indexOf(" "+o+" "))r=r.replace(" "+o+" "," ");i!==(s=ht(r))&&n.setAttribute("class",s)}return this},toggleClass:function(i,t){var o=typeof i,a="string"===o||Array.isArray(i);return"boolean"==typeof t&&a?t?this.addClass(i):this.removeClass(i):m(i)?this.each(function(e){S(this).toggleClass(i.call(this,e,gt(this),t),t)}):this.each(function(){var e,t,n,r;if(a){t=0,n=S(this),r=vt(i);while(e=r[t++])n.hasClass(e)?n.removeClass(e):n.addClass(e)}else void 0!==i&&"boolean"!==o||((e=gt(this))&&Y.set(this,"__className__",e),this.setAttribute&&this.setAttribute("class",e||!1===i?"":Y.get(this,"__className__")||""))})},hasClass:function(e){var t,n,r=0;t=" "+e+" ";while(n=this[r++])if(1===n.nodeType&&-1<(" "+ht(gt(n))+" ").indexOf(t))return!0;return!1}});var yt=/\r/g;S.fn.extend({val:function(n){var r,e,i,t=this[0];return arguments.length?(i=m(n),this.each(function(e){var t;1===this.nodeType&&(null==(t=i?n.call(this,e,S(this).val()):n)?t="":"number"==typeof t?t+="":Array.isArray(t)&&(t=S.map(t,function(e){return null==e?"":e+""})),(r=S.valHooks[this.type]||S.valHooks[this.nodeName.toLowerCase()])&&"set"in r&&void 0!==r.set(this,t,"value")||(this.value=t))})):t?(r=S.valHooks[t.type]||S.valHooks[t.nodeName.toLowerCase()])&&"get"in r&&void 0!==(e=r.get(t,"value"))?e:"string"==typeof(e=t.value)?e.replace(yt,""):null==e?"":e:void 0}}),S.extend({valHooks:{option:{get:function(e){var t=S.find.attr(e,"value");return null!=t?t:ht(S.text(e))}},select:{get:function(e){var t,n,r,i=e.options,o=e.selectedIndex,a="select-one"===e.type,s=a?null:[],u=a?o+1:i.length;for(r=o<0?u:a?o:0;r<u;r++)if(((n=i[r]).selected||r===o)&&!n.disabled&&(!n.parentNode.disabled||!A(n.parentNode,"optgroup"))){if(t=S(n).val(),a)return t;s.push(t)}return s},set:function(e,t){var n,r,i=e.options,o=S.makeArray(t),a=i.length;while(a--)((r=i[a]).selected=-1<S.inArray(S.valHooks.option.get(r),o))&&(n=!0);return n||(e.selectedIndex=-1),o}}}}),S.each(["radio","checkbox"],function(){S.valHooks[this]={set:function(e,t){if(Array.isArray(t))return e.checked=-1<S.inArray(S(e).val(),t)}},y.checkOn||(S.valHooks[this].get=function(e){return null===e.getAttribute("value")?"on":e.value})}),y.focusin="onfocusin"in C;var mt=/^(?:focusinfocus|focusoutblur)$/,xt=function(e){e.stopPropagation()};S.extend(S.event,{trigger:function(e,t,n,r){var i,o,a,s,u,l,c,f,p=[n||E],d=v.call(e,"type")?e.type:e,h=v.call(e,"namespace")?e.namespace.split("."):[];if(o=f=a=n=n||E,3!==n.nodeType&&8!==n.nodeType&&!mt.test(d+S.event.triggered)&&(-1<d.indexOf(".")&&(d=(h=d.split(".")).shift(),h.sort()),u=d.indexOf(":")<0&&"on"+d,(e=e[S.expando]?e:new S.Event(d,"object"==typeof e&&e)).isTrigger=r?2:3,e.namespace=h.join("."),e.rnamespace=e.namespace?new RegExp("(^|\\.)"+h.join("\\.(?:.*\\.|)")+"(\\.|$)"):null,e.result=void 0,e.target||(e.target=n),t=null==t?[e]:S.makeArray(t,[e]),c=S.event.special[d]||{},r||!c.trigger||!1!==c.trigger.apply(n,t))){if(!r&&!c.noBubble&&!x(n)){for(s=c.delegateType||d,mt.test(s+d)||(o=o.parentNode);o;o=o.parentNode)p.push(o),a=o;a===(n.ownerDocument||E)&&p.push(a.defaultView||a.parentWindow||C)}i=0;while((o=p[i++])&&!e.isPropagationStopped())f=o,e.type=1<i?s:c.bindType||d,(l=(Y.get(o,"events")||Object.create(null))[e.type]&&Y.get(o,"handle"))&&l.apply(o,t),(l=u&&o[u])&&l.apply&&V(o)&&(e.result=l.apply(o,t),!1===e.result&&e.preventDefault());return e.type=d,r||e.isDefaultPrevented()||c._default&&!1!==c._default.apply(p.pop(),t)||!V(n)||u&&m(n[d])&&!x(n)&&((a=n[u])&&(n[u]=null),S.event.triggered=d,e.isPropagationStopped()&&f.addEventListener(d,xt),n[d](),e.isPropagationStopped()&&f.removeEventListener(d,xt),S.event.triggered=void 0,a&&(n[u]=a)),e.result}},simulate:function(e,t,n){var r=S.extend(new S.Event,n,{type:e,isSimulated:!0});S.event.trigger(r,null,t)}}),S.fn.extend({trigger:function(e,t){return this.each(function(){S.event.trigger(e,t,this)})},triggerHandler:function(e,t){var n=this[0];if(n)return S.event.trigger(e,t,n,!0)}}),y.focusin||S.each({focus:"focusin",blur:"focusout"},function(n,r){var i=function(e){S.event.simulate(r,e.target,S.event.fix(e))};S.event.special[r]={setup:function(){var e=this.ownerDocument||this.document||this,t=Y.access(e,r);t||e.addEventListener(n,i,!0),Y.access(e,r,(t||0)+1)},teardown:function(){var e=this.ownerDocument||this.document||this,t=Y.access(e,r)-1;t?Y.access(e,r,t):(e.removeEventListener(n,i,!0),Y.remove(e,r))}}});var bt=C.location,wt={guid:Date.now()},Tt=/\?/;S.parseXML=function(e){var t,n;if(!e||"string"!=typeof e)return null;try{t=(new C.DOMParser).parseFromString(e,"text/xml")}catch(e){}return n=t&&t.getElementsByTagName("parsererror")[0],t&&!n||S.error("Invalid XML: "+(n?S.map(n.childNodes,function(e){return e.textContent}).join("\n"):e)),t};var Ct=/\[\]$/,Et=/\r?\n/g,St=/^(?:submit|button|image|reset|file)$/i,kt=/^(?:input|select|textarea|keygen)/i;function At(n,e,r,i){var t;if(Array.isArray(e))S.each(e,function(e,t){r||Ct.test(n)?i(n,t):At(n+"["+("object"==typeof t&&null!=t?e:"")+"]",t,r,i)});else if(r||"object"!==w(e))i(n,e);else for(t in e)At(n+"["+t+"]",e[t],r,i)}S.param=function(e,t){var n,r=[],i=function(e,t){var n=m(t)?t():t;r[r.length]=encodeURIComponent(e)+"="+encodeURIComponent(null==n?"":n)};if(null==e)return"";if(Array.isArray(e)||e.jquery&&!S.isPlainObject(e))S.each(e,function(){i(this.name,this.value)});else for(n in e)At(n,e[n],t,i);return r.join("&")},S.fn.extend({serialize:function(){return S.param(this.serializeArray())},serializeArray:function(){return this.map(function(){var e=S.prop(this,"elements");return e?S.makeArray(e):this}).filter(function(){var e=this.type;return this.name&&!S(this).is(":disabled")&&kt.test(this.nodeName)&&!St.test(e)&&(this.checked||!pe.test(e))}).map(function(e,t){var n=S(this).val();return null==n?null:Array.isArray(n)?S.map(n,function(e){return{name:t.name,value:e.replace(Et,"\r\n")}}):{name:t.name,value:n.replace(Et,"\r\n")}}).get()}});var Nt=/%20/g,jt=/#.*$/,Dt=/([?&])_=[^&]*/,qt=/^(.*?):[ \t]*([^\r\n]*)$/gm,Lt=/^(?:GET|HEAD)$/,Ht=/^\/\//,Ot={},Pt={},Rt="*/".concat("*"),Mt=E.createElement("a");function It(o){return function(e,t){"string"!=typeof e&&(t=e,e="*");var n,r=0,i=e.toLowerCase().match(P)||[];if(m(t))while(n=i[r++])"+"===n[0]?(n=n.slice(1)||"*",(o[n]=o[n]||[]).unshift(t)):(o[n]=o[n]||[]).push(t)}}function Wt(t,i,o,a){var s={},u=t===Pt;function l(e){var r;return s[e]=!0,S.each(t[e]||[],function(e,t){var n=t(i,o,a);return"string"!=typeof n||u||s[n]?u?!(r=n):void 0:(i.dataTypes.unshift(n),l(n),!1)}),r}return l(i.dataTypes[0])||!s["*"]&&l("*")}function Ft(e,t){var n,r,i=S.ajaxSettings.flatOptions||{};for(n in t)void 0!==t[n]&&((i[n]?e:r||(r={}))[n]=t[n]);return r&&S.extend(!0,e,r),e}Mt.href=bt.href,S.extend({active:0,lastModified:{},etag:{},ajaxSettings:{url:bt.href,type:"GET",isLocal:/^(?:about|app|app-storage|.+-extension|file|res|widget):$/.test(bt.protocol),global:!0,processData:!0,async:!0,contentType:"application/x-www-form-urlencoded; charset=UTF-8",accepts:{"*":Rt,text:"text/plain",html:"text/html",xml:"application/xml, text/xml",json:"application/json, text/javascript"},contents:{xml:/\bxml\b/,html:/\bhtml/,json:/\bjson\b/},responseFields:{xml:"responseXML",text:"responseText",json:"responseJSON"},converters:{"* text":String,"text html":!0,"text json":JSON.parse,"text xml":S.parseXML},flatOptions:{url:!0,context:!0}},ajaxSetup:function(e,t){return t?Ft(Ft(e,S.ajaxSettings),t):Ft(S.ajaxSettings,e)},ajaxPrefilter:It(Ot),ajaxTransport:It(Pt),ajax:function(e,t){"object"==typeof e&&(t=e,e=void 0),t=t||{};var c,f,p,n,d,r,h,g,i,o,v=S.ajaxSetup({},t),y=v.context||v,m=v.context&&(y.nodeType||y.jquery)?S(y):S.event,x=S.Deferred(),b=S.Callbacks("once memory"),w=v.statusCode||{},a={},s={},u="canceled",T={readyState:0,getResponseHeader:function(e){var t;if(h){if(!n){n={};while(t=qt.exec(p))n[t[1].toLowerCase()+" "]=(n[t[1].toLowerCase()+" "]||[]).concat(t[2])}t=n[e.toLowerCase()+" "]}return null==t?null:t.join(", ")},getAllResponseHeaders:function(){return h?p:null},setRequestHeader:function(e,t){return null==h&&(e=s[e.toLowerCase()]=s[e.toLowerCase()]||e,a[e]=t),this},overrideMimeType:function(e){return null==h&&(v.mimeType=e),this},statusCode:function(e){var t;if(e)if(h)T.always(e[T.status]);else for(t in e)w[t]=[w[t],e[t]];return this},abort:function(e){var t=e||u;return c&&c.abort(t),l(0,t),this}};if(x.promise(T),v.url=((e||v.url||bt.href)+"").replace(Ht,bt.protocol+"//"),v.type=t.method||t.type||v.method||v.type,v.dataTypes=(v.dataType||"*").toLowerCase().match(P)||[""],null==v.crossDomain){r=E.createElement("a");try{r.href=v.url,r.href=r.href,v.crossDomain=Mt.protocol+"//"+Mt.host!=r.protocol+"//"+r.host}catch(e){v.crossDomain=!0}}if(v.data&&v.processData&&"string"!=typeof v.data&&(v.data=S.param(v.data,v.traditional)),Wt(Ot,v,t,T),h)return T;for(i in(g=S.event&&v.global)&&0==S.active++&&S.event.trigger("ajaxStart"),v.type=v.type.toUpperCase(),v.hasContent=!Lt.test(v.type),f=v.url.replace(jt,""),v.hasContent?v.data&&v.processData&&0===(v.contentType||"").indexOf("application/x-www-form-urlencoded")&&(v.data=v.data.replace(Nt,"+")):(o=v.url.slice(f.length),v.data&&(v.processData||"string"==typeof v.data)&&(f+=(Tt.test(f)?"&":"?")+v.data,delete v.data),!1===v.cache&&(f=f.replace(Dt,"$1"),o=(Tt.test(f)?"&":"?")+"_="+wt.guid+++o),v.url=f+o),v.ifModified&&(S.lastModified[f]&&T.setRequestHeader("If-Modified-Since",S.lastModified[f]),S.etag[f]&&T.setRequestHeader("If-None-Match",S.etag[f])),(v.data&&v.hasContent&&!1!==v.contentType||t.contentType)&&T.setRequestHeader("Content-Type",v.contentType),T.setRequestHeader("Accept",v.dataTypes[0]&&v.accepts[v.dataTypes[0]]?v.accepts[v.dataTypes[0]]+("*"!==v.dataTypes[0]?", "+Rt+"; q=0.01":""):v.accepts["*"]),v.headers)T.setRequestHeader(i,v.headers[i]);if(v.beforeSend&&(!1===v.beforeSend.call(y,T,v)||h))return T.abort();if(u="abort",b.add(v.complete),T.done(v.success),T.fail(v.error),c=Wt(Pt,v,t,T)){if(T.readyState=1,g&&m.trigger("ajaxSend",[T,v]),h)return T;v.async&&0<v.timeout&&(d=C.setTimeout(function(){T.abort("timeout")},v.timeout));try{h=!1,c.send(a,l)}catch(e){if(h)throw e;l(-1,e)}}else l(-1,"No Transport");function l(e,t,n,r){var i,o,a,s,u,l=t;h||(h=!0,d&&C.clearTimeout(d),c=void 0,p=r||"",T.readyState=0<e?4:0,i=200<=e&&e<300||304===e,n&&(s=function(e,t,n){var r,i,o,a,s=e.contents,u=e.dataTypes;while("*"===u[0])u.shift(),void 0===r&&(r=e.mimeType||t.getResponseHeader("Content-Type"));if(r)for(i in s)if(s[i]&&s[i].test(r)){u.unshift(i);break}if(u[0]in n)o=u[0];else{for(i in n){if(!u[0]||e.converters[i+" "+u[0]]){o=i;break}a||(a=i)}o=o||a}if(o)return o!==u[0]&&u.unshift(o),n[o]}(v,T,n)),!i&&-1<S.inArray("script",v.dataTypes)&&S.inArray("json",v.dataTypes)<0&&(v.converters["text script"]=function(){}),s=function(e,t,n,r){var i,o,a,s,u,l={},c=e.dataTypes.slice();if(c[1])for(a in e.converters)l[a.toLowerCase()]=e.converters[a];o=c.shift();while(o)if(e.responseFields[o]&&(n[e.responseFields[o]]=t),!u&&r&&e.dataFilter&&(t=e.dataFilter(t,e.dataType)),u=o,o=c.shift())if("*"===o)o=u;else if("*"!==u&&u!==o){if(!(a=l[u+" "+o]||l["* "+o]))for(i in l)if((s=i.split(" "))[1]===o&&(a=l[u+" "+s[0]]||l["* "+s[0]])){!0===a?a=l[i]:!0!==l[i]&&(o=s[0],c.unshift(s[1]));break}if(!0!==a)if(a&&e["throws"])t=a(t);else try{t=a(t)}catch(e){return{state:"parsererror",error:a?e:"No conversion from "+u+" to "+o}}}return{state:"success",data:t}}(v,s,T,i),i?(v.ifModified&&((u=T.getResponseHeader("Last-Modified"))&&(S.lastModified[f]=u),(u=T.getResponseHeader("etag"))&&(S.etag[f]=u)),204===e||"HEAD"===v.type?l="nocontent":304===e?l="notmodified":(l=s.state,o=s.data,i=!(a=s.error))):(a=l,!e&&l||(l="error",e<0&&(e=0))),T.status=e,T.statusText=(t||l)+"",i?x.resolveWith(y,[o,l,T]):x.rejectWith(y,[T,l,a]),T.statusCode(w),w=void 0,g&&m.trigger(i?"ajaxSuccess":"ajaxError",[T,v,i?o:a]),b.fireWith(y,[T,l]),g&&(m.trigger("ajaxComplete",[T,v]),--S.active||S.event.trigger("ajaxStop")))}return T},getJSON:function(e,t,n){return S.get(e,t,n,"json")},getScript:function(e,t){return S.get(e,void 0,t,"script")}}),S.each(["get","post"],function(e,i){S[i]=function(e,t,n,r){return m(t)&&(r=r||n,n=t,t=void 0),S.ajax(S.extend({url:e,type:i,dataType:r,data:t,success:n},S.isPlainObject(e)&&e))}}),S.ajaxPrefilter(function(e){var t;for(t in e.headers)"content-type"===t.toLowerCase()&&(e.contentType=e.headers[t]||"")}),S._evalUrl=function(e,t,n){return S.ajax({url:e,type:"GET",dataType:"script",cache:!0,async:!1,global:!1,converters:{"text script":function(){}},dataFilter:function(e){S.globalEval(e,t,n)}})},S.fn.extend({wrapAll:function(e){var t;return this[0]&&(m(e)&&(e=e.call(this[0])),t=S(e,this[0].ownerDocument).eq(0).clone(!0),this[0].parentNode&&t.insertBefore(this[0]),t.map(function(){var e=this;while(e.firstElementChild)e=e.firstElementChild;return e}).append(this)),this},wrapInner:function(n){return m(n)?this.each(function(e){S(this).wrapInner(n.call(this,e))}):this.each(function(){var e=S(this),t=e.contents();t.length?t.wrapAll(n):e.append(n)})},wrap:function(t){var n=m(t);return this.each(function(e){S(this).wrapAll(n?t.call(this,e):t)})},unwrap:function(e){return this.parent(e).not("body").each(function(){S(this).replaceWith(this.childNodes)}),this}}),S.expr.pseudos.hidden=function(e){return!S.expr.pseudos.visible(e)},S.expr.pseudos.visible=function(e){return!!(e.offsetWidth||e.offsetHeight||e.getClientRects().length)},S.ajaxSettings.xhr=function(){try{return new C.XMLHttpRequest}catch(e){}};var Bt={0:200,1223:204},$t=S.ajaxSettings.xhr();y.cors=!!$t&&"withCredentials"in $t,y.ajax=$t=!!$t,S.ajaxTransport(function(i){var o,a;if(y.cors||$t&&!i.crossDomain)return{send:function(e,t){var n,r=i.xhr();if(r.open(i.type,i.url,i.async,i.username,i.password),i.xhrFields)for(n in i.xhrFields)r[n]=i.xhrFields[n];for(n in i.mimeType&&r.overrideMimeType&&r.overrideMimeType(i.mimeType),i.crossDomain||e["X-Requested-With"]||(e["X-Requested-With"]="XMLHttpRequest"),e)r.setRequestHeader(n,e[n]);o=function(e){return function(){o&&(o=a=r.onload=r.onerror=r.onabort=r.ontimeout=r.onreadystatechange=null,"abort"===e?r.abort():"error"===e?"number"!=typeof r.status?t(0,"error"):t(r.status,r.statusText):t(Bt[r.status]||r.status,r.statusText,"text"!==(r.responseType||"text")||"string"!=typeof r.responseText?{binary:r.response}:{text:r.responseText},r.getAllResponseHeaders()))}},r.onload=o(),a=r.onerror=r.ontimeout=o("error"),void 0!==r.onabort?r.onabort=a:r.onreadystatechange=function(){4===r.readyState&&C.setTimeout(function(){o&&a()})},o=o("abort");try{r.send(i.hasContent&&i.data||null)}catch(e){if(o)throw e}},abort:function(){o&&o()}}}),S.ajaxPrefilter(function(e){e.crossDomain&&(e.contents.script=!1)}),S.ajaxSetup({accepts:{script:"text/javascript, application/javascript, application/ecmascript, application/x-ecmascript"},contents:{script:/\b(?:java|ecma)script\b/},converters:{"text script":function(e){return S.globalEval(e),e}}}),S.ajaxPrefilter("script",function(e){void 0===e.cache&&(e.cache=!1),e.crossDomain&&(e.type="GET")}),S.ajaxTransport("script",function(n){var r,i;if(n.crossDomain||n.scriptAttrs)return{send:function(e,t){r=S("<script>").attr(n.scriptAttrs||{}).prop({charset:n.scriptCharset,src:n.url}).on("load error",i=function(e){r.remove(),i=null,e&&t("error"===e.type?404:200,e.type)}),E.head.appendChild(r[0])},abort:function(){i&&i()}}});var _t,zt=[],Ut=/(=)\?(?=&|$)|\?\?/;S.ajaxSetup({jsonp:"callback",jsonpCallback:function(){var e=zt.pop()||S.expando+"_"+wt.guid++;return this[e]=!0,e}}),S.ajaxPrefilter("json jsonp",function(e,t,n){var r,i,o,a=!1!==e.jsonp&&(Ut.test(e.url)?"url":"string"==typeof e.data&&0===(e.contentType||"").indexOf("application/x-www-form-urlencoded")&&Ut.test(e.data)&&"data");if(a||"jsonp"===e.dataTypes[0])return r=e.jsonpCallback=m(e.jsonpCallback)?e.jsonpCallback():e.jsonpCallback,a?e[a]=e[a].replace(Ut,"$1"+r):!1!==e.jsonp&&(e.url+=(Tt.test(e.url)?"&":"?")+e.jsonp+"="+r),e.converters["script json"]=function(){return o||S.error(r+" was not called"),o[0]},e.dataTypes[0]="json",i=C[r],C[r]=function(){o=arguments},n.always(function(){void 0===i?S(C).removeProp(r):C[r]=i,e[r]&&(e.jsonpCallback=t.jsonpCallback,zt.push(r)),o&&m(i)&&i(o[0]),o=i=void 0}),"script"}),y.createHTMLDocument=((_t=E.implementation.createHTMLDocument("").body).innerHTML="<form></form><form></form>",2===_t.childNodes.length),S.parseHTML=function(e,t,n){return"string"!=typeof e?[]:("boolean"==typeof t&&(n=t,t=!1),t||(y.createHTMLDocument?((r=(t=E.implementation.createHTMLDocument("")).createElement("base")).href=E.location.href,t.head.appendChild(r)):t=E),o=!n&&[],(i=N.exec(e))?[t.createElement(i[1])]:(i=xe([e],t,o),o&&o.length&&S(o).remove(),S.merge([],i.childNodes)));var r,i,o},S.fn.load=function(e,t,n){var r,i,o,a=this,s=e.indexOf(" ");return-1<s&&(r=ht(e.slice(s)),e=e.slice(0,s)),m(t)?(n=t,t=void 0):t&&"object"==typeof t&&(i="POST"),0<a.length&&S.ajax({url:e,type:i||"GET",dataType:"html",data:t}).done(function(e){o=arguments,a.html(r?S("<div>").append(S.parseHTML(e)).find(r):e)}).always(n&&function(e,t){a.each(function(){n.apply(this,o||[e.responseText,t,e])})}),this},S.expr.pseudos.animated=function(t){return S.grep(S.timers,function(e){return t===e.elem}).length},S.offset={setOffset:function(e,t,n){var r,i,o,a,s,u,l=S.css(e,"position"),c=S(e),f={};"static"===l&&(e.style.position="relative"),s=c.offset(),o=S.css(e,"top"),u=S.css(e,"left"),("absolute"===l||"fixed"===l)&&-1<(o+u).indexOf("auto")?(a=(r=c.position()).top,i=r.left):(a=parseFloat(o)||0,i=parseFloat(u)||0),m(t)&&(t=t.call(e,n,S.extend({},s))),null!=t.top&&(f.top=t.top-s.top+a),null!=t.left&&(f.left=t.left-s.left+i),"using"in t?t.using.call(e,f):c.css(f)}},S.fn.extend({offset:function(t){if(arguments.length)return void 0===t?this:this.each(function(e){S.offset.setOffset(this,t,e)});var e,n,r=this[0];return r?r.getClientRects().length?(e=r.getBoundingClientRect(),n=r.ownerDocument.defaultView,{top:e.top+n.pageYOffset,left:e.left+n.pageXOffset}):{top:0,left:0}:void 0},position:function(){if(this[0]){var e,t,n,r=this[0],i={top:0,left:0};if("fixed"===S.css(r,"position"))t=r.getBoundingClientRect();else{t=this.offset(),n=r.ownerDocument,e=r.offsetParent||n.documentElement;while(e&&(e===n.body||e===n.documentElement)&&"static"===S.css(e,"position"))e=e.parentNode;e&&e!==r&&1===e.nodeType&&((i=S(e).offset()).top+=S.css(e,"borderTopWidth",!0),i.left+=S.css(e,"borderLeftWidth",!0))}return{top:t.top-i.top-S.css(r,"marginTop",!0),left:t.left-i.left-S.css(r,"marginLeft",!0)}}},offsetParent:function(){return this.map(function(){var e=this.offsetParent;while(e&&"static"===S.css(e,"position"))e=e.offsetParent;return e||re})}}),S.each({scrollLeft:"pageXOffset",scrollTop:"pageYOffset"},function(t,i){var o="pageYOffset"===i;S.fn[t]=function(e){return $(this,function(e,t,n){var r;if(x(e)?r=e:9===e.nodeType&&(r=e.defaultView),void 0===n)return r?r[i]:e[t];r?r.scrollTo(o?r.pageXOffset:n,o?n:r.pageYOffset):e[t]=n},t,e,arguments.length)}}),S.each(["top","left"],function(e,n){S.cssHooks[n]=Fe(y.pixelPosition,function(e,t){if(t)return t=We(e,n),Pe.test(t)?S(e).position()[n]+"px":t})}),S.each({Height:"height",Width:"width"},function(a,s){S.each({padding:"inner"+a,content:s,"":"outer"+a},function(r,o){S.fn[o]=function(e,t){var n=arguments.length&&(r||"boolean"!=typeof e),i=r||(!0===e||!0===t?"margin":"border");return $(this,function(e,t,n){var r;return x(e)?0===o.indexOf("outer")?e["inner"+a]:e.document.documentElement["client"+a]:9===e.nodeType?(r=e.documentElement,Math.max(e.body["scroll"+a],r["scroll"+a],e.body["offset"+a],r["offset"+a],r["client"+a])):void 0===n?S.css(e,t,i):S.style(e,t,n,i)},s,n?e:void 0,n)}})}),S.each(["ajaxStart","ajaxStop","ajaxComplete","ajaxError","ajaxSuccess","ajaxSend"],function(e,t){S.fn[t]=function(e){return this.on(t,e)}}),S.fn.extend({bind:function(e,t,n){return this.on(e,null,t,n)},unbind:function(e,t){return this.off(e,null,t)},delegate:function(e,t,n,r){return this.on(t,e,n,r)},undelegate:function(e,t,n){return 1===arguments.length?this.off(e,"**"):this.off(t,e||"**",n)},hover:function(e,t){return this.mouseenter(e).mouseleave(t||e)}}),S.each("blur focus focusin focusout resize scroll click dblclick mousedown mouseup mousemove mouseover mouseout mouseenter mouseleave change select submit keydown keypress keyup contextmenu".split(" "),function(e,n){S.fn[n]=function(e,t){return 0<arguments.length?this.on(n,null,e,t):this.trigger(n)}});var Xt=/^[\s\uFEFF\xA0]+|[\s\uFEFF\xA0]+$/g;S.proxy=function(e,t){var n,r,i;if("string"==typeof t&&(n=e[t],t=e,e=n),m(e))return r=s.call(arguments,2),(i=function(){return e.apply(t||this,r.concat(s.call(arguments)))}).guid=e.guid=e.guid||S.guid++,i},S.holdReady=function(e){e?S.readyWait++:S.ready(!0)},S.isArray=Array.isArray,S.parseJSON=JSON.parse,S.nodeName=A,S.isFunction=m,S.isWindow=x,S.camelCase=X,S.type=w,S.now=Date.now,S.isNumeric=function(e){var t=S.type(e);return("number"===t||"string"===t)&&!isNaN(e-parseFloat(e))},S.trim=function(e){return null==e?"":(e+"").replace(Xt,"")},"function"==typeof define&&define.amd&&define("jquery",[],function(){return S});var Vt=C.jQuery,Gt=C.$;return S.noConflict=function(e){return C.$===S&&(C.$=Gt),e&&C.jQuery===S&&(C.jQuery=Vt),S},"undefined"==typeof e&&(C.jQuery=C.$=S),S});
"></script>
<meta name="viewport" content="width=device-width, initial-scale=1" />
<link href="data:text/css,html%7Bfont%2Dfamily%3Asans%2Dserif%3B%2Dwebkit%2Dtext%2Dsize%2Dadjust%3A100%25%3B%2Dms%2Dtext%2Dsize%2Dadjust%3A100%25%7Dbody%7Bmargin%3A0%7Darticle%2Caside%2Cdetails%2Cfigcaption%2Cfigure%2Cfooter%2Cheader%2Chgroup%2Cmain%2Cmenu%2Cnav%2Csection%2Csummary%7Bdisplay%3Ablock%7Daudio%2Ccanvas%2Cprogress%2Cvideo%7Bdisplay%3Ainline%2Dblock%3Bvertical%2Dalign%3Abaseline%7Daudio%3Anot%28%5Bcontrols%5D%29%7Bdisplay%3Anone%3Bheight%3A0%7D%5Bhidden%5D%2Ctemplate%7Bdisplay%3Anone%7Da%7Bbackground%2Dcolor%3Atransparent%7Da%3Aactive%2Ca%3Ahover%7Boutline%3A0%7Dabbr%5Btitle%5D%7Bborder%2Dbottom%3A1px%20dotted%7Db%2Cstrong%7Bfont%2Dweight%3A700%7Ddfn%7Bfont%2Dstyle%3Aitalic%7Dh1%7Bmargin%3A%2E67em%200%3Bfont%2Dsize%3A2em%7Dmark%7Bcolor%3A%23000%3Bbackground%3A%23ff0%7Dsmall%7Bfont%2Dsize%3A80%25%7Dsub%2Csup%7Bposition%3Arelative%3Bfont%2Dsize%3A75%25%3Bline%2Dheight%3A0%3Bvertical%2Dalign%3Abaseline%7Dsup%7Btop%3A%2D%2E5em%7Dsub%7Bbottom%3A%2D%2E25em%7Dimg%7Bborder%3A0%7Dsvg%3Anot%28%3Aroot%29%7Boverflow%3Ahidden%7Dfigure%7Bmargin%3A1em%2040px%7Dhr%7Bheight%3A0%3B%2Dwebkit%2Dbox%2Dsizing%3Acontent%2Dbox%3B%2Dmoz%2Dbox%2Dsizing%3Acontent%2Dbox%3Bbox%2Dsizing%3Acontent%2Dbox%7Dpre%7Boverflow%3Aauto%7Dcode%2Ckbd%2Cpre%2Csamp%7Bfont%2Dfamily%3Amonospace%2Cmonospace%3Bfont%2Dsize%3A1em%7Dbutton%2Cinput%2Coptgroup%2Cselect%2Ctextarea%7Bmargin%3A0%3Bfont%3Ainherit%3Bcolor%3Ainherit%7Dbutton%7Boverflow%3Avisible%7Dbutton%2Cselect%7Btext%2Dtransform%3Anone%7Dbutton%2Chtml%20input%5Btype%3Dbutton%5D%2Cinput%5Btype%3Dreset%5D%2Cinput%5Btype%3Dsubmit%5D%7B%2Dwebkit%2Dappearance%3Abutton%3Bcursor%3Apointer%7Dbutton%5Bdisabled%5D%2Chtml%20input%5Bdisabled%5D%7Bcursor%3Adefault%7Dbutton%3A%3A%2Dmoz%2Dfocus%2Dinner%2Cinput%3A%3A%2Dmoz%2Dfocus%2Dinner%7Bpadding%3A0%3Bborder%3A0%7Dinput%7Bline%2Dheight%3Anormal%7Dinput%5Btype%3Dcheckbox%5D%2Cinput%5Btype%3Dradio%5D%7B%2Dwebkit%2Dbox%2Dsizing%3Aborder%2Dbox%3B%2Dmoz%2Dbox%2Dsizing%3Aborder%2Dbox%3Bbox%2Dsizing%3Aborder%2Dbox%3Bpadding%3A0%7Dinput%5Btype%3Dnumber%5D%3A%3A%2Dwebkit%2Dinner%2Dspin%2Dbutton%2Cinput%5Btype%3Dnumber%5D%3A%3A%2Dwebkit%2Douter%2Dspin%2Dbutton%7Bheight%3Aauto%7Dinput%5Btype%3Dsearch%5D%7B%2Dwebkit%2Dbox%2Dsizing%3Acontent%2Dbox%3B%2Dmoz%2Dbox%2Dsizing%3Acontent%2Dbox%3Bbox%2Dsizing%3Acontent%2Dbox%3B%2Dwebkit%2Dappearance%3Atextfield%7Dinput%5Btype%3Dsearch%5D%3A%3A%2Dwebkit%2Dsearch%2Dcancel%2Dbutton%2Cinput%5Btype%3Dsearch%5D%3A%3A%2Dwebkit%2Dsearch%2Ddecoration%7B%2Dwebkit%2Dappearance%3Anone%7Dfieldset%7Bpadding%3A%2E35em%20%2E625em%20%2E75em%3Bmargin%3A0%202px%3Bborder%3A1px%20solid%20silver%7Dlegend%7Bpadding%3A0%3Bborder%3A0%7Dtextarea%7Boverflow%3Aauto%7Doptgroup%7Bfont%2Dweight%3A700%7Dtable%7Bborder%2Dspacing%3A0%3Bborder%2Dcollapse%3Acollapse%7Dtd%2Cth%7Bpadding%3A0%7D%40media%20print%7B%2A%2C%3Aafter%2C%3Abefore%7Bcolor%3A%23000%21important%3Btext%2Dshadow%3Anone%21important%3Bbackground%3A0%200%21important%3B%2Dwebkit%2Dbox%2Dshadow%3Anone%21important%3Bbox%2Dshadow%3Anone%21important%7Da%2Ca%3Avisited%7Btext%2Ddecoration%3Aunderline%7Da%5Bhref%5D%3Aafter%7Bcontent%3A%22%20%28%22%20attr%28href%29%20%22%29%22%7Dabbr%5Btitle%5D%3Aafter%7Bcontent%3A%22%20%28%22%20attr%28title%29%20%22%29%22%7Da%5Bhref%5E%3D%22javascript%3A%22%5D%3Aafter%2Ca%5Bhref%5E%3D%22%23%22%5D%3Aafter%7Bcontent%3A%22%22%7Dblockquote%2Cpre%7Bborder%3A1px%20solid%20%23999%3Bpage%2Dbreak%2Dinside%3Aavoid%7Dthead%7Bdisplay%3Atable%2Dheader%2Dgroup%7Dimg%2Ctr%7Bpage%2Dbreak%2Dinside%3Aavoid%7Dimg%7Bmax%2Dwidth%3A100%25%21important%7Dh2%2Ch3%2Cp%7Borphans%3A3%3Bwidows%3A3%7Dh2%2Ch3%7Bpage%2Dbreak%2Dafter%3Aavoid%7D%2Enavbar%7Bdisplay%3Anone%7D%2Ebtn%3E%2Ecaret%2C%2Edropup%3E%2Ebtn%3E%2Ecaret%7Bborder%2Dtop%2Dcolor%3A%23000%21important%7D%2Elabel%7Bborder%3A1px%20solid%20%23000%7D%2Etable%7Bborder%2Dcollapse%3Acollapse%21important%7D%2Etable%20td%2C%2Etable%20th%7Bbackground%2Dcolor%3A%23fff%21important%7D%2Etable%2Dbordered%20td%2C%2Etable%2Dbordered%20th%7Bborder%3A1px%20solid%20%23ddd%21important%7D%7D%40font%2Dface%7Bfont%2Dfamily%3A%27Glyphicons%20Halflings%27%3Bsrc%3Aurl%28data%3Aapplication%2Fvnd%2Ems%2Dfontobject%3Bbase64%2Cn04AAEFNAAACAAIABAAAAAAABQAAAAAAAAABAJABAAAEAExQAAAAAAAAAAIAAAAAAAAAAAEAAAAAAAAAJxJ%2FLAAAAAAAAAAAAAAAAAAAAAAAACgARwBMAFkAUABIAEkAQwBPAE4AUwAgAEgAYQBsAGYAbABpAG4AZwBzAAAADgBSAGUAZwB1AGwAYQByAAAAeABWAGUAcgBzAGkAbwBuACAAMQAuADAAMAA5ADsAUABTACAAMAAwADEALgAwADAAOQA7AGgAbwB0AGMAbwBuAHYAIAAxAC4AMAAuADcAMAA7AG0AYQBrAGUAbwB0AGYALgBsAGkAYgAyAC4ANQAuADUAOAAzADIAOQAAADgARwBMAFkAUABIAEkAQwBPAE4AUwAgAEgAYQBsAGYAbABpAG4AZwBzACAAUgBlAGcAdQBsAGEAcgAAAAAAQlNHUAAAAAAAAAAAAAAAAAAAAAADAKncAE0TAE0ZAEbuFM3pjM%2FSEdmjKHUbyow8ATBE40IvWA3vTu8LiABDQ%2BpexwUMcm1SMnNryctQSiI1K5ZnbOlXKmnVV5YvRe6RnNMFNCOs1KNVpn6yZhCJkRtVRNzEufeIq7HgSrcx4S8h%2Fv4vnrrKc6oCNxmSk2uKlZQHBii6iKFoH0746ThvkO1kJHlxjrkxs%2BLWORaDQBEtiYJIR5IB9Bi1UyL4Rmr0BNigNkMzlKQmnofBHviqVzUxwdMb3NdCn69hy%2BpRYVKGVS%2F1tnsqv4LL7wCCPZZAZPT4aCShHjHJVNuXbmMrY5LeQaGnvAkXlVrJgKRAUdFjrWEah9XebPeQMj7KS7DIBAFt8ycgC5PLGUOHSE3ErGZCiViNLL5ZARfywnCoZaKQCu6NuFX42AEeKtKUGnr%2FCm2Cy8tpFhBPMW5Fxi4Qm4TkDWh4IWFDClhU2hRWosUWqcKLlgyXB%2BlSHaWaHiWlBAR8SeSgSPCQxdVQgzUixWKSTrIQEbU94viDctkvX%2BVSjJuUmV8L4CXShI11esnp0pjWNZIyxKHS4wVQ2ime1P4RnhvGw0aDN1OLAXGERsB7buFpFGGBAre4QEQR0HOIO5oYH305G%2BKspT%2FFupEGGafCCwxSe6ZUa%2B073rXHnNdVXE6eWvibUS27XtRzkH838mYLMBmYysZTM0EM3A1fbpCBYFccN1B%2FEnCYu%2FTgCGmr7bMh8GfYL%2BBfcLvB0gRagC09w9elfldaIy%2FhNCBLRgBgtCC7jAF63wLSMAfbfAlEggYU0bUA7ACCJmTDpEmJtI78w4%2FBO7dN7JR7J7ZvbYaUbaILSQsRBiF3HGk5fEg6p9unwLvn98r%2BvnsV%2B372uf1xBLq4qU%2F45fTuqaAP%2BpssmCCCTF0mhEow8ZXZOS8D7Q85JsxZ%2BAzok7B7O%2Ff6J8AzYBySZQB%2FQHYUSA%2BEeQhEWiS6AIQzgcsDiER4MjgMBAWDV4AgQ3g1eBgIdweCQmCjJEMkJ%2BPKRWyFHHmg1Wi%2F6xzUgA0LREoKJChwnQa9B%2B5RQZRB3IlBlkAnxyQNaANwHMowzlYSMCBgnbpzvqpl0iTJNCQidDI9ZrSYNIRBhHtUa5YHMHxyGEik9hDE0AKj72AbTCaxtHPUaKZdAZSnQTyjGqGLsmBStCejApUhg4uBMU6mATujEl%2BKdDPbI6Ag4vLr%2BhjY6lbjBeoLKnZl0UZgRX8gTySOeynZVz1wOq7e1hFGYIq%2BMhrGxDLak0PrwYzSXtcuyhXEhwOYofiW%2BEcI%2Fjw8P6IY6ed%2BetAbuqKp5QIapT77LnAe505lMuqL79a0ut4rWexzFttsOsLDy7zvtQzcq3U1qabe7tB0wHWVXji%2BzDbo8x8HyIRUbXnwUcklFv51fvTymiV%2BMXLSmGH9d9%2BaXpD5X6lao41anWGig7IwIdnoBY2ht%2FpO9mClLo4NdXHAsefqWUKlXJkbqPOFhMoR4aiA1BXqhRNbB2Xwi%2B7u%2FjpAoOpKJ0UX24EsrzMfHXViakCNcKjBxuQX8BO0ZqjJ3xXzf%2B61t2VXOSgJ8xu65QKgtN6FibPmPYsXbJRHHqbgATcSZxBqGiDiU4NNNsYBsKD0MIP%2FOfKnlk%2FLkaid%2FO2NbKeuQrwOB2Gq3YHyr6ALgzym5wIBnsdC1ZkoBFZSQXChZvlesPqvK2c5oHHT3Q65jYpNxnQcGF0EHbvYqoFw60WNlXIHQF2HQB7zD6lWjZ9rVqUKBXUT6hrkZOle0RFYII0V5ZYGl1JAP0Ud1fZZMvSomBzJ710j4Me8mjQDwEre5Uv2wQfk1ifDwb5ksuJQQ3xt423lbuQjvoIQByQrNDh1JxGFkOdlJvu%2FgFtuW0wR4cgd%2BZKesSV7QkNE2kw6AV4hoIuC02LGmTomyf8PiO6CZzOTLTPQ%2BHW06H%2Btx%2BbQ8LmDYg1pTFrp2oJXgkZTyeRJZM0C8aE2LpFrNVDuhARsN543%2FFV6klQ6Tv1OoZGXLv0igKrl%2FCmJxRmX7JJbJ998VSIPQRyDBICzl4JJlYHbdql30NvYcOuZ7a10uWRrgoieOdgIm4rlq6vNOQBuqESLbXG5lzdJGHw2m0sDYmODXbYGTfSTGRKpssTO95fothJCjUGQgEL4yKoGAF%2F0SrpUDNn8CBgBcSDQByAeNkCXp4S4Ro2Xh4OeaGRgR66PVOsU8bc6TR5%2FxTcn4IVMLOkXSWiXxkZQCbvKfmoAvQaKjO3EDKwkwqHChCDEM5loQRPd5ACBki1TjF772oaQhQbQ5C0lcWXPFOzrfsDGUXGrpxasbG4iab6eByaQkQfm0VFlP0ZsDkvvqCL6QXMUwCjdMx1ZOyKhTJ7a1GWAdOUcJ8RSejxNVyGs31OKMyRyBVoZFjqIkmKlLQ5eHMeEL4MkUf23cQ%2F1SgRCJ1dk4UdBT7OoyuNgLs0oCd8RnrEIb6QdMxT2QjD4zMrJkfgx5aDMcA4orsTtKCqWb%2FVeyceqa5OGSmB28YwH4rFbkQaLoUN8OQQYnD3w2eXpI4ScQfbCUZiJ4yMOIKLyyTc7BQ4uXUw6Ee6%2FxM%2B4Y67ngNBknxIPwuppgIhFcwJyr6EIj%2BLzNj%2FmfR2vhhRlx0BILZoAYruF0caWQ7YxO66UmeguDREAFHYuC7HJviRgVO6ruJH59h%2FC%2FPkgSle8xNzZJULLWq9JMDTE2fjGE146a1Us6PZDGYle6ldWRqn%2FpdpgHKNGrGIdkRK%2BKPETT9nKT6kLyDI8xd9A1FgWmXWRAIHwZ37WyZHOVyCadJEmMVz0MadMjDrPho%2BEIochkVC2xgGiwwsQ6DMv2P7UXqT4x7CdcYGId2BJQQa85EQKmCmwcRejQ9Bm4oATENFPkxPXILHpMPUyWTI5rjNOsIlmEeMbcOCEqInpXACYQ9DDxmFo9vcmsDblcMtg4tqBerNngkIKaFJmrQAPnq1dEzsMXcwjcHdfdCibcAxxA%2Bq%2Fj9m3LM%2FO7WJka4tSidVCjsvo2lQ%2F2ewyoYyXwAYyr2PlRoR5MpgVmSUIrM3PQxXPbgjBOaDQFIyFMJvx3Pc5RSYj12ySVF9fwFPQu2e2KWVoL9q3Ayv3IzpGHUdvdPdrNUdicjsTQ2ISy7QU3DrEytIjvbzJnAkmANXjAFERA0MUoPF3%2F5KFmW14bBNOhwircYgMqoDpUMcDtCmBE82QM2YtdjVLB4kBuKho%2FbcwQdeboqfQartuU3CsCf%2BcXkgYAqp%2F0Ee3RorAZt0AvvOCSI4JICIlGlsV0bsSid%2FNIEALAAzb6HAgyWHBps6xAOwkJIGcB82CxRQq4sJf3FzA70A%2BTRqcqjEMETCoez3mkPcpnoALs0ugJY8kQwrC%2BJE5ik3w9rzrvDRjAQnqgEVvdGrNwlanR0SOKWzxOJOvLJhcd8Cl4AshACUkv9czdMkJCVQSQhp6kp7StAlpVRpK0t0SW6LHeBJnE2QchB5Ccu8kxRghZXGIgZIiSj7gEKMJDClcnX6hgoqJMwiQDigIXg3ioFLCgDgjPtYHYpsF5EiA4kcnN18MZtOrY866dEQAb0FB34OGKHGZQjwW%2FWDHA60cYFaI%2FPjpzquUqdaYGcIq%2BmLez3WLFFCtNBN2QJcrlcoELgiPku5R5dSlJFaCEqEZle1AQzAKC%2B1SotMcBNyQUFuRHRF6OlimSBgjZeTBCwLyc6A%2BP%2FoFRchXTz5ADknYJHxzrJ5pGuIKRQISU6WyKTBBjD8WozmVYWIsto1AS5rxzKlvJu4E%2FvwOiKxRtCWsDM%2BeTHUrmwrCK5BIfMzGkD%2B0Fk5LzBs0jMYXktNDblB06LMNJ09U8pzSLmo14MS0OMjcdrZ31pyQqxJJpRImlSvfYAK8inkYU52QY2FPEVsjoWewpwhRp5yAuNpkqhdb7ku9Seefl2D0B8SMTFD90xi4CSOwwZy9IKkpMtI3FmFUg3%2FkFutpQGNc3pCR7gvC4sgwbupDu3DyEN%2BW6YGLNM21jpB49irxy9BSlHrVDlnihGKHwPrbVFtc%2Bh1rVQKZduxIyojccZIIcOCmhEnC7UkY68WXKQgLi2JCDQkQWJRQuk60hZp0D3rtCTINSeY9Ej2kIKYfGxwOs4j9qMM7fYZiipzgcf7TamnehqdhsiMiCawXnz4xAbyCkLAx5EGbo3Ax1u3dUIKnTxIaxwQTHehPl3V491H0%2BbC5zgpGz7Io%2BmjdhKlPJ01EeMpM7UsRJMi1nGjmJg35i6bQBAAxjO%2FENJubU2mg3ONySEoWklCwdABETcs7ck3jgiuU9pcKKpbgn%2B3YlzV1FzIkB6pmEDOSSyDfPPlQskznctFji0kpgZjW5RZe6x9kYT4KJcXg0bNiCyif%2BpZACCyRMmYsfiKmN9tSO65F0R2OO6ytlEhY5Sj6uRKfFxw0ijJaAx%2Fk3QgnAFSq27%2F2i4GEBA%2BUvTJKK%2F9eISNvG46Em5RZfjTYLdeD8kdXHyrwId%2FDQZUaMCY4gGbke2C8vfjgV%2FY9kkRQOJIn%2FxM9INZSpiBnqX0Q9GlQPpPKAyO5y%2BW5NMPSRdBCUlmuxl40ZfMCnf2Cp044uI9WLFtCi4YVxKjuRCOBWIb4XbIsGdbo4qtMQnNOQz4XDSui7W%2FN6l54qOynCqD3DpWQ%2BmpD7C40D8BZEWGJX3tlAaZBMj1yjvDYKwCJBa201u6nBKE5UE%2B7QSEhCwrXfbRZylAaAkplhBWX50dumrElePyNMRYUrC99UmcSSNgImhFhDI4BXjMtiqkgizUGCrZ8iwFxU6fQ8GEHCFdLewwxYWxgScAYMdMLmcZR6b7rZl95eQVDGVoUKcRMM1ixXQtXNkBETZkVVPg8LoSrdetHzkuM7DjZRHP02tCxA1fmkXKF3VzfN1pc1cv%2F8lbTIkkYpqKM9VOhp65ktYk%2BQ46myFWBapDfyWUCnsnI00QTBQmuFjMZTcd0V2NQ768Fhpby04k2IzNR1wKabuGJqYWwSly6ocMFGTeeI%2BejsWDYgEvr66QgqdcIbFYDNgsm0x9UHY6SCd5%2B7tpsLpKdvhahIDyYmEJQCqMqtCF6UlrE5GXRmbu%2Bvtm3BFSxI6ND6UxIE7GsGMgWqghXxSnaRJuGFveTcK5ZVSPJyjUxe1dKgI6kNF7EZhIZs8y8FVqwEfbM0Xk2ltORVDKZZM40SD3qQoQe0orJEKwPfZwm3YPqwixhUMOndis6MhbmfvLBKjC8sKKIZKbJk8L11oNkCQzCgvjhyyEiQSuJcgCQSG4Mocfgc0Hkwcjal1UNgP0CBPikYqBIk9tONv4kLtBswH07vUCjEaHiFGlLf8MgXKzSgjp2HolRRccAOh0ILHz9qlGgIFkwAnzHJRjWFhlA7ROwINyB5HFj59PRZHFor6voq7l23EPNRwdWhgawqbivLSjRA4htEYUFkjESu67icTg5S0aW1sOkCiIysfJ9UnIWevOOLGpepcBxy1wEhd2WI3AZg7sr9WBmHWyasxMcvY%2FiOmsLtHSWNUWEGk9hScMPShasUA1AcHOtRZlqMeQ0OzYS9vQvYUjOLrzP07BUAFikcJNMi7gIxEw4pL1G54TcmmmoAQ5s7TGWErJZ2Io4yQ0ljRYhL8H5e62oDtLF8aDpnIvZ5R3GWJyAugdiiJW9hQAVTsnCBHhwu7rkBlBX6r3b7ejEY0k5GGeyKv66v%2B6dg7mcJTrWHbtMywbedYqCQ0FPwoytmSWsL8WTtChZCKKzEF7vP6De4x2BJkkniMgSdWhbeBSLtJZR9CTHetK1xb34AYIJ37OegYIoPVbXgJ%2FqDQK%2BbfCtxQRVKQu77WzOoM6SGL7MaZwCGJVk46aImai9fmam%2BWpHG%2B0BtQPWUgZ7RIAlPq6lkECUhZQ2gqWkMYKcYMYaIc4gYCDFHYa2d1nzp3%2BJ1eCBay8IYZ0wQRKGAqvCuZ%2FUgbQPyllosq%2BXtfKIZOzmeJqRazpmmoP%2F76YfkjzV2NlXTDSBYB04SVlNQsFTbGPk1t%2FI4Jktu0XSgifO2ozFOiwd%2F0SssJDn0dn4xqk4GDTTKX73%2FwQyBLdqgJ%2BWx6AQaba3BA9CKEzjtQYIfAsiYamapq80LAamYjinlKXUkxdpIDk0puXUEYzSalfRibAeDAKpNiqQ0FTwoxuGYzRnisyTotdVTclis1LHRQCy%2FqqL8oUaQzWRxilq5Mi0IJGtMY02cGLD69vGjkj3p6pGePKI8bkBv5evq8SjjyU04vJR2cQXQwSJyoinDsUJHCQ50jrFTT7yRdbdYQMB3MYCb6uBzJ9ewhXYPAIZSXfeEQBZZ3GPN3Nbhh%2FwkvAJLXnQMdi5NYYZ5GHE400GS5rXkOZSQsdZgIbzRnF9ueLnsfQ47wHAsirITnTlkCcuWWIUhJSbpM3wWhXNHvt2xUsKKMpdBSbJnBMcihkoDqAd1Zml%2FR4yrzow1Q2A5G%2Bkzo%2FRhRxQS2lCSDRV8LlYLBOOoo1bF4jwJAwKMK1tWLHlu9i0j4Ig8qVm6wE1DxXwAwQwsaBWUg2pOOol2dHxyt6npwJEdLDDVYyRc2D0HbcbLUJQj8gPevQBUBOUHXPrsAPBERICpnYESeu2OHotpXQxRGlCCtLdIsu23MhZVEoJg8Qumj%2FUMMc34IBqTKLDTp76WzL%2FdMjCxK7MjhiGjeYAC%2Fkj%2FjY%2FRde7hpSM1xChrog6yZ7OWTuD56xBJnGFE%2BpT2ElSyCnJcwVzCjkqeNLfMEJqKW0G7OFIp0G%2B9mh50I9o8k1tpCY0xYqFNIALgIfc2me4n1bmJnRZ89oepgLPT0NTMLNZsvSCZAc3TXaNB07vail36%2FdBySis4m9%2FDR8izaLJW6bWCkVgm5T%2Bius3ZXq4xI%2BGnbveLbdRwF2mNtsrE0JjYc1AXknCOrLSu7Te%2Fr4dPYMCl5qtiHNTn%2BTPbh1jCBHH%2BdMJNhwNgs3nT%2BOhQoQ0vYif56BMG6WowAcHR3DjQolxLzyVekHj00PBAaW7IIAF1EF%2BuRIWyXjQMAs2chdpaKPNaB%2BkSezYt0%2BCA04sOg5vx8Fr7Ofa9sUv87h7SLAUFSzbetCCZ9pmyLt6l6%2FTzoA1%2FZBG9bIUVHLAbi%2FkdBFgYGyGwRQGBpkqCEg2ah9UD6EedEcEL3j4y0BQQCiExEnocA3SZboh%2Bepgd3YsOkHskZwPuQ5OoyA0fTA5AXrHcUOQF%2BzkJHIA7PwCDk1gGVmGUZSSoPhNf%2BTklauz98QofOlCIQ%2FtCD4dosHYPqtPCXB3agggQQIqQJsSkB%2Bqn0rkQ1toJjON%2FOtCIB9RYv3PqRA4C4U68ZMlZn6BdgEvi2ziU%2BTQ6NIw3ej%2BAtDwMGEZk7e2IjxUWKdAxyaw9OCwSmeADTPPleyk6UhGDNXQb%2B%2BW6Uk4q6F7%2Frg6WVTo82IoCxSIsFDrav4EPHphD3u4hR53WKVvYZUwNCCeM4PMBWzK%2BEfIthZOkuAwPo5C5jgoZgn6dUdvx5rIDmd58cXXdKNfw3l%2BwM2UjgrDJeQHhbD7HW2QDoZMCujgIUkk5Fg8VCsdyjOtnGRx8wgKRPZN5dR0zPUyfGZFVihbFRniXZFOZGKPnEQzU3AnD1KfR6weHW2XS6KbPJxUkOTZsAB9vTVp3Le1F8q5l%2BDMcLiIq78jxAImD2pGFw0VHfRatScGlK6SMu8leTmhUSMy8Uhdd6xBiH3Gdman4tjQGLboJfqz6fL2WKHTmrfsKZRYX6BTDjDldKMosaSTLdQS7oDisJNqAUhw1PfTlnacCO8vl8706Km1FROgLDmudzxg%2BEWTiArtHgLsRrAXYWdB0NmToNCJdKm0KWycZQqb%2BMw76Qy29iQ5up%2FX7oyw8QZ75kP5F6iJAJz6KCmqxz8fEa%2FxnsMYcIO%2FvEkGRuMckhr4rIeLrKaXnmIzlNLxbFspOphkcnJdnz%2FChp%2FVlpj2P7jJQmQRwGnltkTV5dbF9fE3%2FfxoSqTROgq9wFUlbuYzYcasE0ouzBo%2BdDCDzxKAfhbAZYxQiHrLzV2iVexnDX%2FQnT1fsT%2Fxuhu1ui5qIytgbGmRoQkeQooO8eJNNZsf0iALur8QxZFH0nCMnjerYQqG1pIfjyVZWxhVRznmmfLG00BcBWJE6hzQWRyFknuJnXuk8A5FRDCulwrWASSNoBtR%2BCtGdkPwYN2o7DOw%2FVGlCZPusRBFXODQdUM5zeHDIVuAJBLqbO%2Ff9Qua%2BpDqEPk230Sob9lEZ8BHiCorjVghuI0lI4JDgHGRDD%2FprQ84B1pVGkIpVUAHCG%2Biz3Bn3qm2AVrYcYWhock4jso5%2BJ7HfHVj4WMIQdGctq3psBCVVzupQOEioBGA2Bk%2BUILT7%2BVoX5mdxxA5fS42gISQVi%2FHTzrgMxu0fY6hE1ocUwwbsbWcezrY2n6S8%2F6cxXkOH4prpmPuFoikTzY7T85C4T2XYlbxLglSv2uLCgFv8Quk%2FwdesUdWPeHYIH0R729JIisN9Apdd4eB10aqwXrPt%2BSu9mA8k8n1sjMwnfsfF2j3jMUzXepSHmZ%2FBfqXvzgUNQQWOXO8YEuFBh4QTYCkOAPxywpYu1VxiDyJmKVcmJPGWk%2Fgc3Pov02StyYDahwmzw3E1gYC9wkupyWfDqDSUMpCTH5e5N8B%2F%2FlHiMuIkTNw4USHrJU67bjXGqNav6PBuQSoqTxc8avHoGmvqNtXzIaoyMIQIiiUHIM64cXieouplhNYln7qgc4wBVAYR104kO%2BCvKqsg4yIUlFNThVUAKZxZt1XA34h3TCUUiXVkZ0w8Hh2R0Z5L0b4LZvPd%2Fp1gi%2F07h8qfwHrByuSxglc9cI4QIg2oqvC%2Fqm0i7tjPLTgDhoWTAKDO2ONW5oe%2B%2FeKB9vZB8K6C25yCZ9RFVMnb6NRdRjyVK57CHHSkJBfnM2%2Fj4ODUwRkqrtBBCrDsDpt8jhZdXoy%2F1BCqw3sSGhgGGy0a5Jw6BP%2FTExoCmNFYjZl248A0osgPyGEmRA%2BfAsqPVaNAfytu0vuQJ7rk3J4kTDTR2AlCHJ5cls26opZM4w3jMULh2YXKpcqGBtuleAlOZnaZGbD6DHzMd6i2oFeJ8z9XYmalg1Szd%2FocZDc1C7Y6vcALJz2lYnTXiWEr2wawtoR4g3jvWUU2Ngjd1cewtFzEvM1NiHZPeLlIXFbBPawxNgMwwAlyNSuGF3zizVeOoC9bag1qRAQKQE%2FEZBWC2J8mnXAN2aTBboZ7HewnObE8CwROudZHmUM5oZ%2FUgd%2FJZQK8lvAm43uDRAbyW8gZ%2BZGq0EVerVGUKUSm%2FIdn8AQHdR4m7bue88WBwft9mSCeMOt1ncBwziOmJYI2ZR7ewNMPiCugmSsE4EyQ%2BQATJG6qORMGd4snEzc6B4shPIo4G1T7PgSm8PY5eUkPdF8JZ0VBtadbHXoJgnEhZQaODPj2gpODKJY5Yp4DOsLBFxWbvXN755KWylJm%2BoOd4zEL9Hpubuy2gyyfxh8oEfFutnYWdfB8PdESLWYvSqbElP9qo3u6KTmkhoacDauMNNjj0oy40DFV7Ql0aZj77xfGl7TJNHnIwgqOkenruYYNo6h724%2BzUQ7%2BvkCpZB%2BpGA562hYQiDxHVWOq0oDQl%2FQsoiY%2BcuI7iWq%2FZIBtHcXJ7kks%2Bh2fCNUPA82BzjnqktNts%2BRLdk1VSu%2BtqEn7QZCCsvEqk6FkfiOYkrsw092J8jsfIuEKypNjLxrKA9kiA19mxBD2suxQKCzwXGws7kEJvlhUiV9tArLIdZW0IORcxEzdzKmjtFhsjKy%2F44XYXdI5noQoRcvjZ1RMPACRqYg2V1%2BOwOepcOknRLLFdYgTkT5UApt%2FJhLM3jeFYprZV%2BZow2g8fP%2BU68hkKFWJj2yBbKqsrp25xkZX1DAjUw52IMYWaOhab8Kp05VrdNftqwRrymWF4OQSjbdfzmRZirK8FMJELEgER2PHjEAN9pGfLhCUiTJFbd5LBkOBMaxLr%2FA1SY9dXFz4RjzoU9ExfJCmx%2FI9FKEGT3n2cmzl2X42L3Jh%2BAbQq6sA%2BSs1kitoa4TAYgKHaoybHUDJ51oETdeI%2F9ThSmjWGkyLi5QAGWhL0BG1UsTyRGRJOldKBrYJeB8ljLJHfATWTEQBXBDnQexOHTB%2BUn44zExFE4vLytcu5NwpWrUxO%2F0ZICUGM7hGABXym0V6ZvDST0E370St9MIWQOTWngeoQHUTdCJUP04spMBMS8LSker9cReVQkULFDIZDFPrhTzBl6sed9wcZQTbL%2BBDqMyaN3RJPh%2Fanbx%2BIv%2BqgQdAa3M9Z5JmvYlh4qop%2BHo1F1W5gbOE9YKLgAnWytXElU4G8GtW47lhgFE6gaSs%2Bgs37sFvi0PPVvA5dnCBgILTwoKd%2F%2BDoL9F6inlM7H4rOTzD79KJgKlZO%2FZgt22UsKhrAaXU5ZcLrAglTVKJEmNJvORGN1vqrcfSMizfpsgbIe9zno%2BgBoKVXgIL%2FVI8dB1O5o%2FR3Suez%2FgD7M781ShjKpIIORM%2FnxG%2BjjhhgPwsn2IoXsPGPqYHXA63zJ07M2GPEykQwJBYLK808qYxuIew4frk52nhCsnCYmXiR6CuapvE1IwRB4%2FQftDbEn%2BAucIr1oxrLabRj9q4ae0%2BfXkHnteAJwXRbVkR0mctVSwEbqhJiMSZUp9DNbEDMmjX22m3ABpkrPQQTP3S1sib5pD2VRKRd%2BeNAjLYyT0hGrdjWJZy24OYXRoWQAIhGBZRxuBFMjjZQhpgrWo8SiFYbojcHO8V5DyscJpLTHyx9Fimassyo5U6WNtquUMYgccaHY5amgR3PQzq3ToNM5ABnoB9kuxsebqmYZm0R9qxJbFXCQ1UPyFIbxoUraTJFDpCk0Wk9GaYJKz%2F6oHwEP0Q14lMtlddQsOAU9zlYdMVHiT7RQP3XCmWYDcHCGbVRHGnHuwzScA0BaSBOGkz3lM8CArjrBsyEoV6Ys4qgDK3ykQQPZ3hCRGNXQTNNXbEb6tDiTDLKOyMzRhCFT%2BmAUmiYbV3YQVqFVp9dorv%2BTsLeCykS2b5yyu8AV7IS9cxcL8z4Kfwp%2BxJyYLv1OsxQCZwTB4a8BZ%2F5EdxTBJthApqyfd9u3ifr%2FWILTqq5VqgwMT9SOxbSGWLQJUUWCVi4k9tho9nEsbUh7U6NUsLmkYFXOhZ0kmamaJLRNJzSj%2Fqn4Mso6zb6iLLBXoaZ6AqeWCjHQm2lztnejYYM2eubnpBdKVLORZhudH3JF1waBJKA9%2BW8EhMj3Kzf0L4vi4k6RoHh3Z5YgmSZmk6ns4fjScjAoL8GoOECgqgYEBYUGFVO4FUv4%2FYtowhEmTs0vrvlD%2FCrisnoBNDAcUi%2FteY7OctFlmARQzjOItrrlKuPO6E2Ox93L4O%2F4DcgV%2FdZ7qR3VBwVQxP1GCieA4RIpweYJ5FoYrHxqRBdJjnqbsikA2Ictbb8vE1GYIo9dacK0REgDX4smy6GAkxlH1yCGGsk%2BtgiDhNKuKu3yNrMdxafmKTF632F8Vx4BNK57GvlFisrkjN9WDAtjsWA0ENT2e2nETUb%2Fn7qwhvGnrHuf5bX6Vh%2Fn3xffU3PeHdR%2BFA92i6ufT3AlyAREoNDh6chiMWTvjKjHDeRhOa9YkOQRq1vQXEMppAQVwHCuIcV2g5rBn6GmZZpTR7vnSD6ZmhdSl176gqKTXu5E%2BYbfL0adwNtHP7dT7t7b46DVZIkzaRJOM%2BS6KcrzYVg%2BT3wSRFRQashjfU18NutrKa%2F7PXbtuJvpIjbgPeqd%2BpjmRw6YKpnANFSQcpzTZgpSNJ6J7uiagAbir%2F8tNXJ%2FOsOnRh6iuIexxrmkIneAgz8QoLmiaJ8sLQrELVK2yn3wOHp57BAZJhDZjTBzyoRAuuZ4eoxHruY1pSb7qq79cIeAdOwin4GdgMeIMHeG%2BFZWYaiUQQyC5b50zKjYw97dFjAeY2I4Bnl105Iku1y0lMA1ZHolLx19uZnRdILcXKlZGQx%2FGdEqSsMRU1BIrFqRcV1qQOOHyxOLXEGcbRtAEsuAC2V4K3p5mFJ22IDWaEkk9ttf5Izb2LkD1MnrSwztXmmD%2FQi%2FEmVEFBfiKGmftsPwVaIoZanlKndMZsIBOskFYpDOq3QUs9aSbAAtL5Dbokus2G4%2FasthNMK5UQKCOhU97oaOYNGsTah%2BjfCKsZnTRn5TbhFX8ghg8CBYt%2FBjeYYYUrtUZ5jVij%2Fop7V5SsbA4mYTOwZ46hqdpbB6Qvq3AS2HHNkC15pTDIcDNGsMPXaBidXYPHc6PJAkRh29Vx8KcgX46LoUQBhRM%2B3SW6Opll%2FwgxxsPgKJKzr5QCmwkUxNbeg6Wj34SUnEzOemSuvS2OetRCO8Tyy%2BQbSKVJcqkia%2BGvDefFwMOmgnD7h81TUtMn%2BmRpyJJ349HhAnoWFTejhpYTL9G8N2nVg1qkXBeoS9Nw2fB27t7trm7d%2FQK7Cr4uoCeOQ7%2F8JfKT77KiDzLImESHw%2F0wf73QeHu74hxv7uihi4fTX%2BXEwAyQG3264dwv17aJ5N335Vt9sdrAXhPOAv8JFvzqyYXwfx8WYJaef1gMl98JRFyl5Mv5Uo%2FoVH5ww5OzLFsiTPDns7fS6EURSSWd%2F92BxMYQ8sBaH%2Bj%2BwthQPdVgDGpTfi%2BJQIWMD8xKqULliRH01rTeyF8x8q%2FGBEEEBrAJMPf25UQwi0b8tmqRXY7kIvNkzrkvRWLnxoGYEJsz8u4oOyMp8cHyaybb1HdMCaLApUE%2B%2F7xLIZGP6H9xuSEXp1zLIdjk5nBaMuV%2FyTDRRP8Y2ww5RO6d2D94o%2B6ucWIqUAvgHIHXhZsmDhjVLczmZ3ca0Cb3PpKwt2UtHVQ0BgFJsqqTsnzZPlKahRUkEu4qmkJt%2Bkqdae76ViWe3STan69yaF9%2BfESD2lcQshLHWVu4ovItXxO69bqC5p1nZLvI8NdQB9s9UNaJGlQ5mG947ipdDA0eTIw%2FA1zEdjWquIsQXXGIVEH0thC5M%2BW9pZe7IhAVnPJkYCCXN5a32HjN6nsvokEqRS44tGIs7s2LVTvcrHAF%2BRVmI8L4HUYk4x%2B67AxSMJKqCg8zrGOgvK9kNMdDrNiUtSWuHFpC8%2Fp5qIQrEo%2FH%2B1l%2F0cAwQ2nKmpWxKcMIuHY44Y6DlkpO48tRuUGBWT0FyHwSKO72Ud%2BtJUfdaZ4CWNijzZtlRa8%2BCkmO%2FEwHYfPZFU%2FhzjFWH7vnzHRMo%2BaF9u8qHSAiEkA2HjoNQPEwHsDKOt6hOoK3Ce%2F%2B%2F9boMWDa44I6FrQhdgS7OnNaSzwxWKZMcyHi6LN4WC6sSj0qm2PSOGBTvDs%2FGWJS6SwEN%2FULwpb4LQo9fYjUfSXRwZkynUazlSpvX9e%2BG2zor8l%2BYaMxSEomDdLHGcD6YVQPegTaA74H8%2BV4WvJkFUrjMLGLlvSZQWvi8%2FQA7yzQ8GPno%2F%2F5SJHRP%2FOqKObPCo81s%2F%2B6WgLqykYpGAgQZhVDEBPXWgU%2FWzFZjKUhSFInufPRiMAUULC6T11yL45ZrRoB4DzOyJShKXaAJIBS9wzLYIoCEcJKQW8GVCx4fihqJ6mshBUXSw3wWVj3grrHQlGNGhIDNNzsxQ3M%2BGWn6ASobIWC%2BLbYOC6UpahVO13Zs2zOzZC8z7FmA05JhUGyBsF4tsG0drcggIFzgg%2Fkpf3%2BCnAXKiMgIE8Jk%2FMhpkc8DUJEUzDSnWlQFme3d0sHZDrg7LavtsEX3cHwjCYA17pMTfx8Ajw9hHscN67hyo%2BRJQ4458RmPywXykkVcW688oVUrQhahpPRvTWPnuI0B%2BSkQu7dCyvLRyFYlC1LG1gRCIvn3rwQeINzZQC2KXq31FaR9UmVV2QeGVqBHjmE%2BVMd3b1fhCynD0pQNhCG6%2FWCDbKPyE7NRQzL3BzQAJ0g09aUzcQA6mUp9iZFK6Sbp%2FYbHjo%2B%2B7%2FWj8S4YNa%2BZdqAw1hDrKWFXv9%2BzaXpf8ZTDSbiqsxnwN%2FCzK5tPkOr4tRh2kY3Bn9JtalbIOI4b3F7F1vPQMfoDcdxMS8CW9m%2FNCW%2FHILTUVWQIPiD0j1A6bo8vsv6P1hCESl2abrSJWDrq5sSzUpwoxaCU9FtJyYH4QFMxDBpkkBR6kn0LMPO%2B5EJ7Z6bCiRoPedRZ%2FP0SSdii7ZnPAtVwwHUidcdyspwncz5uq6vvm4IEDbJVLUFCn%2FLvIHfooUBTkFO130FC7CmmcrKdgDJcid9mvVzsDSibOoXtIf9k6ABle3PmIxejodc4aob0QKS432srrCMndbfD454q52V01G4q913mC5HOsTzWF4h2No1av1VbcUgWAqyoZl%2B11PoFYnNv2HwAODeNRkHj%2B8SF1fcvVBu6MrehHAZK1Gm69ICcTKizykHgGFx7QdowTVAsYEF2tVc0Z6wLryz2FI1sc5By2znJAAmINndoJiB4sfPdPrTC8RnkW7KRCwxC6YvXg5ahMlQuMpoCSXjOlBy0Kij%2BbsCYPbGp8BdCBiLmLSAkEQRaieWo1SYvZIKJGj9Ur%2FeWHjiB7SOVdqMAVmpBvfRiebsFjger7DC%2B8kRFGtNrTrnnGD2GAJb8rQCWkUPYHhwXsjNBSkE6lGWUj5QNhK0DMNM2l%2BkXRZ0KLZaGsFSIdQz%2FHXDxf3%2FTE30%2BDgBKWGWdxElyLccJfEpjsnszECNoDGZpdwdRgCixeg9L4EPhH%2BRptvRMVRaahu4cySjS3P5wxAUCPkmn%2BrhyASpmiTaiDeggaIxYBmtLZDDhiWIJaBgzfCsAGUF1Q1SFZYyXDt9skCaxJsxK2Ms65dmdp5WAZyxik%2FzbrTQk5KmgxCg%2Ff45L0jywebOWUYFJQAJia7XzCV0x89rpp%2Ff3AVWhSPyTanqmik2SkD8A3Ml4NhIGLAjBXtPShwKYfi2eXtrDuKLk4QlSyTw1ftXgwqA2jUuopDl%2B5tfUWZNwBpEPXghzbBggYCw%2Fdhy0ntds2yeHCDKkF%2FYxQjNIL%2FF%2F37jLPHCKBO9ibwYCmuxImIo0ijV2Wbg3kSN2psoe8IsABv3RNFaF9uMyCtCYtqcD%2BqNOhwMlfARQUdJ2tUX%2BMNJqOwIciWalZsmEjt07tfa8ma4cji9sqz%2BQ9hWfmMoKEbIHPOQORbhQRHIsrTYlnVTNvcq1imqmmPDdVDkJgRcTgB8Sb6epCQVmFZe%2BjGDiNJQLWnfx%2BdrTKYjm0G8yH0ZAGMWzEJhUEQ4Maimgf%2Fbkvo8PLVBsZl152y5S8%2BHRDfZIMCbYZ1WDp4yrdchOJw8k6R%2B%2F2pHmydK4NIK2PHdFPHtoLmHxRDwLFb7eB%2BM4zNZcB9NrAgjVyzLM7xyYSY13ykWfIEEd2n5%2FiYp3ZdrCf7fL%2Ben%2BsIJu2W7E30MrAgZBD1rAAbZHPgeAMtKCg3NpSpYQUDWJu9bT3V7tOKv%2BNRiJc8JAKqqgCA%2FPNRBR7ChpiEulyQApMK1AyqcWnpSOmYh6yLiWkGJ2mklCSPIqN7UypWj3dGi5MvsHQ87MrB4VFgypJaFriaHivwcHIpmyi5LhNqtem4q0n8awM19Qk8BOS0EsqGscuuydYsIGsbT5GHnERUiMpKJl4ON7qjB4fEqlGN%2FhCky89232UQCiaeWpDYCJINXjT6xl4Gc7DxRCtgV0i1ma4RgWLsNtnEBRQFqZggCLiuyEydmFd7WlogpkCw5G1x4ft2psm3KAREwVwr1Gzl6RT7FDAqpVal34ewVm3VH4qn5mjGj%2BbYL1NgfLNeXDwtmYSpwzbruDKpTjOdgiIHDVQSb5%2FzBgSMbHLkxWWgghIh9QTFSDILixVwg0Eg1puooBiHAt7DzwJ7m8i8%2Fi%2BjHvKf0QDnnHVkVTIqMvIQImOrzCJwhSR7qYB5gSwL6aWL9hERHCZc4G2%2BJrpgHNB8eCCmcIWIQ6rSdyPCyftXkDlErUkHafHRlkOIjxGbAktz75bnh50dU7YHk%2BMz7wwstg6RFZb%2BTZuSOx1qqP5C66c0mptQmzIC2dlpte7vZrauAMm%2F7RfBYkGtXWGiaWTtwvAQiq2oD4YixPLXE2khB2FRaNRDTk%2B9sZ6K74Ia9VntCpN4BhJGJMT4Z5c5FhSepRCRWmBXqx%2BwhVZC4me4saDs2iNqXMuCl6iAZflH8fscC1sTsy4PHeC%2BXYuqMBMUun5YezKbRKmEPwuK%2BCLzijPEQgfhahQswBBLfg%2FGBgBiI4QwAqzJkkyYAWtjzSg2ILgMAgqxYfwERRo3zruBL9WOryUArSD8sQOcD7fvIODJxKFS615KFPsb68USBEPPj1orNzFY2xoTtNBVTyzBhPbhFH0PI5AtlJBl2aSgNPYzxYLw7XTDBDinmVoENwiGzmngrMo8OmnRP0Z0i0Zrln9DDFcnmOoBZjABaQIbPOJYZGqX%2BRCMlDDbElcjaROLDoualmUIQ88Kekk3iM4OQrADcxi3rJguS4MOIBIgKgXrjd1WkbCdqxJk%2F4efRIFsavZA7KvvJQqp3Iid5Z0NFc5aiMRzGN3vrpBzaMy4JYde3wr96PjN90AYOIbyp6T4zj8LoE66OGcX1Ef4Z3KoWLAUF4BTg7ug%2FAbkG5UNQXAMkQezujSHeir2uTThgd3gpyzDrbnEdDRH2W7U6PeRvBX1ZFMP5RM%2BZu6UUZZD8hDPHldVWntTCNk7To8IeOW9yn2wx0gmurwqC60AOde4r3ETi5pVMSDK8wxhoGAoEX9NLWHIR33VbrbMveii2jAJlrxwytTHbWNu8Y4N8vCCyZjAX%2FpcsfwXbLze2%2BD%2Bu33OGBoJyAAL3jn3RuEcdp5If8O%2Ba4NKWvxOTyDltG0IWoHhwVGe7dKkCWFT%2B%2Btm%2BhaBCikRUUMrMhYKZJKYoVuv%2FbsJzO8DwfVIInQq3g3BYypiz8baogH3r3GwqCwFtZnz4xMjAVOYnyOi5HWbFA8n0qz1OjSpHWFzpQOpvkNETZBGpxN8ybhtqV%2FDMUxd9uFZmBfKXMCn%2FSqkWJyKPnT6lq%2B4zBZni6fYRByJn6OK%2BOgPBGRAJluwGSk4wxjOOzyce%2FPKODwRlsgrVkdcsEiYrqYdXo0Er2GXi2GQZd0tNJT6c9pK1EEJG1zgDJBoTVuCXGAU8BKTvCO%2FcEQ1Wjk3Zzuy90JX4m3O5IlxVFhYkSUwuQB2up7jhvkm%2BbddRQu5F9s0XftGEJ9JSuSk%2BZachCbdU45fEqbugzTIUokwoAKvpUQF%2FCvLbWW5BNQFqFkJg2f30E%2F48StNe5QwBg8zz3YAJ82FZoXBxXSv4QDooDo79NixyglO9AembuBcx5Re3CwOKTHebOPhkmFC7wNaWtoBhFuV4AkEuJ0J%2B1pT0tLkvFVZaNzfhs%2FKd3%2BA9YsImlO4XK4vpCo%2FelHQi%2F9gkFg07xxnuXLt21unCIpDV%2BbbRxb7FC6nWYTsMFF8%2B1LUg4JFjVt3vqbuhHmDKbgQ4e%2BRGizRiO8ky05LQGMdL2IKLSNar0kNG7lHJMaXr5mLdG3nykgj6vB%2FKVijd1ARWkFEf3yiUw1v%2FWaQivVUpIDdSNrrKbjO5NPnxz6qTTGgYg03HgPhDrCFyYZTi3XQw3HXCva39mpLNFtz8AiEhxAJHpWX13gCTAwgm9YTvMeiqetdNQv6IU0hH0G%2BZManTqDLPjyrOse7WiiwOJCG%2BJ0pZYULhN8NILulmYYvmVcV2MjAfA39sGKqGdjpiPo86fecg65UPyXDIAOyOkCx5NQsLeD4gGVjTVDwOHWkbbBW0GeNjDkcSOn2Nq4cEssP54t9D749A7M1AIOBl0Fi0sSO5v3P7LCBrM6ZwFY6kp2FX6AcbGUdybnfChHPyu6WlRZ2Fwv9YM0RMI7kISRgR8HpQSJJOyTfXj%2F6gQKuihPtiUtlCQVPohUgzfezTg8o1b3n9pNZeco1QucaoXe40Fa5JYhqdTspFmxGtW9h5ezLFZs3j%2FN46f%2BS2rjYNC2JySXrnSAFhvAkz9a5L3pza8eYKHNoPrvBRESpxYPJdKVUxBE39nJ1chrAFpy4MMkf0qKgYALctGg1DQI1kIymyeS2AJNT4X240d3IFQb%2F0jQbaHJ2YRK8A%2Bls6WMhWmpCXYG5jqapGs5%2FeOJErxi2%2F2KWVHiPellTgh%2FfNl%2F2KYPKb7DUcAg%2BmCOPQFCiU9Mq%2FWLcU1xxC8aLePFZZlE%2BPCLzf7ey46INWRw2kcXySR9FDgByXzfxiNKwDFbUSMMhALPFSedyjEVM5442GZ4hTrsAEvZxIieSHGSgkwFh%2FnFNdrrFD4tBH4Il7fW6ur4J8Xaz7RW9jgtuPEXQsYk7gcMs2neu3zJwTyUerHKSh1iTBkj2YJh1SSOZL5pLuQbFFAvyO4k1Hxg2h99MTC6cTUkbONQIAnEfGsGkNFWRbuRyyaEZInM5pij73EA9rPIUfU4XoqQpHT9THZkW%2BoKFLvpyvTBMM69tN1Ydwv1LIEhHsC%2BueVG%2Bw%2BkyCPsvV3erRikcscHjZCkccx6VrBkBRusTDDd8847GA7p2Ucy0y0HdSRN6YIBciYa4vuXcAZbQAuSEmzw%2BH%2FAuOx%2BaH%2BtBL88H57D0MsqyiZxhOEQkF%2F8DR1d2hSPMj%2FsNOa5rxcUnBgH8ictv2J%2Bcb4BA4v3MCShdZ2vtK30vAwkobnEWh7rsSyhmos3WC93Gn9C4nnAd%2FPjMMtQfyDNZsOPd6XcAsnBE%2FmRHtHEyJMzJfZFLE9OvQa0i9kUmToJ0ZxknTgdl%2FXPV8xoh0K7wNHHsnBdvFH3sv52lU7UFteseLG%2FVanIvcwycVA7%2BBE1Ulyb20BvwUWZcMTKhaCcmY3ROpvonVMV4N7yBXTL7IDtHzQ4CCcqF66LjF3xUqgErKzolLyCG6Kb7irP%2FMVTCCwGRxfrPGpMMGvPLgJ881PHMNMIO09T5ig7AzZTX%2F5PLlwnJLDAPfuHynSGhV4tPqR3gJ4kg4c06c%2FF1AcjGytKm2Yb5jwMotF7vro4YDLWlnMIpmPg36NgAZsGA0W1spfLSue4xxat0Gdwd0lqDBOgIaMANykwwDKejt5YaNtJYIkrSgu0KjIg0pznY0SCd1qlC6R19g97UrWDoYJGlrvCE05J%2F5wkjpkre727p5PTRX5FGrSBIfJqhJE%2FIS876PaHFkx9pGTH3oaY3jJRvLX9Iy3Edoar7cFvJqyUlOhAEiOSAyYgVEGkzHdug%2BoRHIEOXAExMiTSKU9A6nmRC8mp8iYhwWdP2U%2F5EkFAdPrZw03YA3gSyNUtMZeh7dDCu8pF5x0VORCTgKp07ehy7NZqKTpIC4UJJ89lnboyAfy5OyXzXtuDRbtAFjZRSyGFTpFrXwkpjSLIQIG3N0Vj4BtzK3wdlkBJrO18MNsgseR4BysJilI0wI6ZahLhBFA0XBmV8d4LUzEcNVb0xbLjLTETYN8OEVqNxkt10W614dd1FlFFVTIgB7%2FBQQp1sWlNolpIu4ekxUTBV7NmxOFKEBmmN%2BnA7pvF78%2FRII5ZHA09OAiE%2F66MF6HQ%2BqVEJCHxwymukkNvzqHEh52dULPbVasfQMgTDyBZzx4007YiKdBuUauQOt27Gmy8ISclPmEUCIcuLbkb1mzQSqIa3iE0PJh7UMYQbkpe%2BhXjTJKdldyt2mVPwywoODGJtBV1lJTgMsuSQBlDMwhEKIfrvsxGQjHPCEfNfMAY2oxvyKcKPUbQySkKG6tj9AQyEW3Q5rpaDJ5Sns9ScLKeizPRbvWYAw4bXkrZdmB7CQopCH8NAmqbuciZChHN8lVGaDbCnmddnqO1PQ4ieMYfcSiBE5zzMz%2BJV%2F4eyzrzTEShvqSGzgWimkNxLvUj86iAwcZuIkqdB0VaIB7wncLRmzHkiUQpPBIXbDDLHBlq7vp9xwuC9AiNkIptAYlG7Biyuk8ILdynuUM1cHWJgeB%2BK3wBP%2FineogxkvBNNQ4AkW0hvpBOQGFfeptF2YTR75MexYDUy7Q%2F9uocGsx41O4IZhViw%2F2FvAEuGO5g2kyXBUijAggWM08bRhXg5ijgMwDJy40QeY%2FcQpUDZiIzmvskQpO5G1zyGZA8WByjIQU4jRoFJt56behxtHUUE%2Fom7Rj2psYXGmq3llVOCgGYKNMo4pzwntITtapDqjvQtqpjaJwjHmDzSVGLxMt12gEXAdLi%2FcaHSM3FPRGRf7dB7YC%2BcD2ho6oL2zGDCkjlf%2FDFoQVl8GS%2F56wur3rdV6ggtzZW60MRB3g%2BU1W8o8cvqIpMkctiGVMzXUFI7FacFLrgtdz4mTEr4aRAaQ2AFQaNeG7GX0yOJgMRYFziXdJf24kg%2FgBQIZMG%2FYcPEllRTVNoDYR6oSJ8wQNLuihfw81UpiKPm714bZX1KYjcXJdfclCUOOpvTxr9AAJevTY4HK%2FG7F3mUc3GOAKqh60zM0v34v%2BELyhJZqhkaMA8UMMOU90f8RKEJFj7EqepBVwsRiLbwMo1J2zrE2UYJnsgIAscDmjPjnzI8a719Wxp757wqmSJBjXowhc46QN4RwKIxqEE6E5218OeK7RfcpGjWG1jD7qND%2B%2FGTk6M56Ig4yMsU6LUW1EWE%2BfIYycVV1thldSlbP6ltdC01y3KUfkobkt2q01YYMmxpKRvh1Z48uNKzP%2FIoRIZ%2FF6buOymSnW8gICitpJjKWBscSb9JJKaWkvEkqinAJ2kowKoqkqZftRqfRQlLtKoqvTRDi2vg%2FRrPD%2Fd3a09J8JhGZlEkOM6znTsoMCsuvTmywxTCDhw5dd0GJOHCMPbsj3QLkTE3MInsZsimDQ3HkvthT7U9VA4s6G07sID0FW4SHJmRGwCl%2BMu4xf0ezqeXD2PtPDnwMPo86sbwDV%2B9PWcgFcARUVYm3hrFQrHcgMElFGbSM2A1zUYA3baWfheJp2AINmTJLuoyYD%2FOwA4a6V0ChBN97E8YtDBerUECv0u0TlxR5yhJCXvJxgyM73Bb6pyq0jTFJDZ4p1Am1SA6sh8nADd1hAcGBMfq4d%2FUfwnmBqe0Jun1n1LzrgKuZMAnxA3NtCN7Klf4BH%2B14B7ibBmgt0TGUafVzI4uKlpF7v8NmgNjg90D6QE3tbx8AjSAC%2BOA1YJvclyPKgT27QpIEgVYpbPYGBsnyCNrGz9XUsCHkW1QAHgL2STZk12QGqmvAB0NFteERkvBIH7INDsNW9KKaAYyDMdBEMzJiWaJHZALqDxQDWRntumSDPcplyFiI1oDpT8wbwe01AHhW6%2BvAUUBoGhY3CT2tgwehdPqU%2F4Q7ZLYvhRl%2FogOvR9O2%2BwkkPKW5vCTjD2fHRYXONCoIl4Jh1bZY0ZE1O94mMGn%2FdFSWBWzQ%2FVYk%2BGezi46RgiDv3EshoTmMSlioUK6MQEN8qeyK6FRninyX8ZPeUWjjbMJChn0n%2FyJvrq5bh5UcCAcBYSafTFg7p0jDgrXo2QWLb3WpSOET%2FHh4oSadBTvyDo10IufLzxiMLAnbZ1vcUmj3w7BQuIXjEZXifwukVxrGa9j%2BDXfpi12m1RbzYLg9J2wFergEwOxFyD0%2FJstNK06ZN2XdZSGWxcJODpQHOq4iKqjqkJUmPu1VczL5xTGUfCgLEYyNBCCbMBFT%2FcUP6pE%2FmujnHsSDeWxMbhrNilS5MyYR0nJyzanWXBeVcEQrRIhQeJA6Xt4f2eQESNeLwmC10WJVHqwx8SSyrtAAjpGjidcj1E2FYN0LObUcFQhafUKTiGmHWRHGsFCB%2BHEXgrzJEB5bp0QiF8ZHh11nFX8AboTD0PS4O1LqF8XBks2MpjsQnwKHF6HgaKCVLJtcr0XjqFMRGfKv8tmmykhLRzu%2BvqQ02%2BKpJBjaLt9ye1Ab%2BBbEBhy4EVdIJDrL2naV0o4wU8YZ2Lq04FG1mWCKC%2BUwkXOoAjneU%2FxHplMQo2cXUlrVNqJYczgYlaOEczVCs%2FOCgkyvLmTmdaBJc1iBLuKwmr6qtRnhowngsDxhzKFAi02tf8bmET8BO27ovJKF1plJwm3b0JpMh38%2BxsrXXg7U74QUM8ZCIMOpXujHntKdaRtsgyEZl5MClMVMMMZkZLNxH9%2Bb8fH6%2Bb8Lev30A9TuEVj9CqAdmwAAHBPbfOBFEATAPZ2CS0OH1Pj%2F0Q7PFUcC8hDrxESWdfgFRm%2B7vvWbkEppHB4T%2F1ApWnlTIqQwjcPl0VgS1yHSmD0OdsCVST8CQVwuiew1Y%2Bg3QGFjNMzwRB2DSsAk26cmA8lp2wIU4p93AUBiUHFGOxOajAqD7Gm6NezNDjYzwLOaSXRBYcWipTSONHjUDXCY4mMI8XoVCR%2FRrs%2FJLKXgEx%2BqkmeDlFOD1%2FyTQNDClRuiUyKYCllfMiQiyFkmuTz2vLsBNyRW%2Bxz%2B5FElFxWB28VjYIGZ0Yd%2B5wIjkcoMaggxswbT0pCmckRAErbRlIlcOGdBo4djTNO8FAgQ%2BlT6vPS60BwTRSUAM3ddkEAZiwtEyArrkiDRnS7LJ%2B2hwbzd2YDQagSgACpsovmjil5wfPuXq3GuH0CyE7FK3M4FgRaFoIkaodORrPx1%2BJpI9psyNYIFuJogZa0%2F1AhOWdlHQxdAgbwacsHqPZo8u%2FngAH2GmaTdhYnBfSDbBfh8CHq6Bx5bttP2%2BRdM%2BMAaYaZ0Y%2FADkbNCZuAyAVQa2OcXOeICmDn9Q%2FeFkDeFQg5MgHEDXq%2FtVjj%2Bjtd26nhaaolWxs1ixSUgOBwrDhRIGOLyOVk2%2FBc0UxvseQCO2pQ2i%2BKrfhu%2FWeBovNb5dJxQtJRUDv2mCwYVpNl2efQM9xQHnK0JwLYt%2FU0Wf%2BphiA4uw8G91slC832pmOTCAoZXohg1fewCZqLBhkOUBofBWpMPsqg7XEXgPfAlDo2U5WXjtFdS87PIqClCK5nW6adCeXPkUiTGx0emOIDQqw1yFYGHEVx20xKjJVYe0O8iLmnQr3FA9nSIQilUKtJ4ZAdcTm7%2BExseJauyqo30hs%2B1qSW211A1SFAOUgDlCGq7eTIcMAeyZkV1SQJ4j%2Fe1Smbq4HcjqgFbLAGLyKxlMDMgZavK5NAYH19Olz3la%2FQCTiVelFnU6O%2FGCvykqS%2FwZJDhKN9gBtSOp%2F1SP5VRgJcoVj%2Bkmf2wBgv4gjrgARBWiURYx8xENV3bEVUAAWWD3dYDKAIWk5opaCFCMR5ZjJExiCAw7gYiSZ2rkyTce4eNMY3lfGn%2B8p6%2BvBckGlKEXnA6Eota69OxDO9oOsJoy28BXOR0UoXNRaJD5ceKdlWMJlOFzDdZNpc05tkMGQtqeNF2lttZqNco1VtwXgRstLSQ6tSPChgqtGV5h2DcDReIQadaNRR6AsAYKL5gSFsCJMgfsaZ7DpKh8mg8Wz8V7H%2BgDnLuMxaWEIUPevIbClgap4dqmVWSrPgVYCzAoZHIa5z2Ocx1D%2FGvDOEqMOKLrMefWIbSWHZ6jbgA8qVBhYNHpx0P%2BjAgN5TB3haSifDcApp6yymEi6Ij%2FGsEpDYUgcHATJUYDUAmC1SCkJ4cuZXSAP2DEpQsGUjQmKJfJOvlC2x%2FpChkOyLW7KEoMYc5FDC4v2FGqSoRWiLsbPCiyg1U5yiHZVm1XLkHMMZL11%2Fyxyw0UnGig3MFdZklN5FI%2FqiT65T%2BjOXOdO7XbgWurOAZR6Cv9uu1cm5LjkXX4xi6mWn5r5NjBS0gTliHhMZI2WNqSiSphEtiCAwnafS11JhseDGHYQ5%2BbqWiAYiAv6Jsf79%2FVUs4cIl%2Bn6%2BWOjcgB%2F2l5TreoAV2717JzZbQIR0W1cl%2FdEqCy5kJ3ZSIHuU0vBoHooEpiHeQWVkkkOqRX27eD1FWw4BfO9CJDdKoSogQi3hAAwsPRFrN5RbX7bqLdBJ9JYMohWrgJKHSjVl1sy2xAG0E3sNyO0oCbSGOxCNBRRXTXenYKuwAoDLfnDcQaCwehUOIDiHAu5m5hMpKeKM4sIo3vxACakIxKoH2YWF2QM84e6F5C5hJU4g8uxuFOlAYnqtwxmHyNEawLW%2FPhoawJDrGAP0JYWHgAVUByo%2FbGdiv2T2EMg8gsS14%2FrAdzlOYazFE7w4OzxeKiWdm3nSOnQRRKXSlVo8HEAbBfyJMKqoq%2BSCcTSx5NDtbFwNlh8VhjGGDu7JG5%2FTAGAvniQSSUog0pNzTim8Owc6QTuSKSTXlQqwV3eiEnklS3LeSXYPXGK2VgeZBqNcHG6tZHvA3vTINhV0ELuQdp3t1y9%2BogD8Kk%2FW7QoRN1UWPqM4%2BxdygkFDPLoTaumKReKiLWoPHOfY54m3qPx4c%2B4pgY3MRKKbljG8w4wvz8pxk3AqKsy4GMAkAtmRjRMsCxbb4Q2Ds0Ia9ci8cMT6DmsJG00XaHCIS%2Bo3F8YVVeikw13w%2BOEDaCYYhC0ZE54kA4jpjruBr5STWeqQG6M74HHL6TZ3lXrd99ZX%2B%2B7LhNatQaZosuxEf5yRA15S9gPeHskBIq3Gcw81AGb9%2FO53DYi%2F5CsQ51EmEh8Rkg4vOciClpy4d04eYsfr6fyQkBmtD%2BP8sNh6e%2BXYHJXT%2FlkXxT4KXU5F2sGxYyzfniMMQkb9OjDN2C8tRRgTyL7GwozH14PrEUZc6oz05Emne3Ts5EG7WolDmU8OB1LDG3VrpQxp%2BpT0KYV5dGtknU64JhabdqcVQbGZiAxQAnvN1u70y1AnmvOSPgLI6uB4AuDGhmAu3ATkJSw7OtS%2F2ToPjqkaq62%2F7WFG8advGlRRqxB9diP07JrXowKR9tpRa%2BjGJ91zxNTT1h8I2PcSfoUPtd7NejVoH03EUcqSBuFZPkMZhegHyo2ZAITovmm3zAIdGFWxoNNORiMRShgwdYwFzkPw5PA4a5MIIQpmq%2Bnsp3YMuXt%2FGkXxLx%2FP6%2BZJS0lFyz4MunC3eWSGE8xlCQrKvhKUPXr0hjpAN9ZK4PfEDrPMfMbGNWcHDzjA7ngMxTPnT7GMHar%2BgMQQ3NwHCv4zH4BIMYvzsdiERi6gebRmerTsVwZJTRsL8dkZgxgRxmpbgRcud%2BYlCIRpPwHShlUSwuipZnx9QCsEWziVazdDeKSYU5CF7UVPAhLer3CgJOQXl%2Fzh575R5rsrmRnKAzq4POFdgbYBuEviM4%2BLVC15ssLNFghbTtHWerS1hDt5s4qkLUha%2FqpZXhWh1C6lTQAqCNQnaDjS7UGFBC6wTu8yFnKJnExCnAs3Ok9yj5KpfZESQ4lTy5pTGTnkAUpxI%2ByjEldJfSo4y0QhG4i4IwkRFGcjWY8%2BEzgYYJUK7BXQksLxAww%2FYYWBMhJILB9e8ePEJ4OP7z%2B4%2FwOQDl64iOYDp26DaONPxpKtBxq%2FaTzRGarm3VkPYTLJKx6Z%2FMw2YbBGseJhPMwhhNswrIkyvV2BYzrvZbxLpKwcWJhYmFtVZ%2BlPEq91FzVp1HlQY1bZVLqeNR9SAUn6n0E28k%2FUuGkNpP1DBI5ch%2FEehZfjUQ9aE41NhETExoPT2gGQz0IhWJbEOvTQ4wgcXCHHFBhewYUiFHuhRSAUVmEHeCRQHQkXGFwkAgyzREJCVN7TRnTon36Zw3tPhx4EALwNdwDv%2BJ41YSP4B2CQqz0EFgARZ4ESgBHQgROwAVn9GTI%2BHYexTUevLUeta4%2FDqKrbMVS%2BYqb8hUwYCrlgKtmAq1YCrFgKrd4qpXiqZcKn1oqdWipjYKpWwVPVYqW6xUpVipKqFR3QKjagVEtAqHpxUMTitsnFaJOKx2cVhswq35RVpyiq9lFVNIKnOQVMkgqtYxVNxiqQjFS7GKlSIVIsQqPIhUWwioigFQ%2B%2BKkN8VHr49HDw9Ebo9EDo9DTo9Crg9BDg9%2FWx7gWx7YWwlobYrOGxWPNisAaAHEyALpkAVDIAeWAArsABVXACYuAD5cAF6wAKFQAQqgAbVAAsoAAlQAUaYAfkwAvogBWQACOgAD9AAHSAAKT4GUdMiOvFngBTwCn2AZ7Dv6B6k%2F90B8%2ByRnkV144AIBoAMTQATGgAjNAA4YABgwABZgB%2FmQCwyAVlwCguASlwCEuAQFwB4uAMlwBYuAJlQAUVAAhUD2KgdpUDaJgaRMDFJgX5MC1JgWJEAokQCWRAHxEAWkQBMRADpEAMkQAYROAEecC484DRpwBDTnwNOdw05tjTmiNOYwtswhYFwLA7BYG4LA2BYGOLAwRYFuLAsxYFQJAohIEyJAMwkAwiQC0JAJgkAeiQBkJAFokAPCQA0JABwcD4Dgc4cDdDgaYcDIDgYgUC6CgWgUClCgUYUAVBQBOFAEYMALgwAgDA9QYAdIn8AZzeBB2L5EcWrenUT1KXienEsuJJ7x5U8XlTjc1NVzUyXFTGb1LlpUtWlTDIjqwE4LsagowoCi2gJLKAkpoBgJQNpAIhNqaEoneI6kiiqQ6Go%2Fn6j0cS%2Ba2gEU8gIHJ%2BBwfgZX4GL%2BBd%2FgW34FZ%2BBS%2FgUH4FN6BTegTvoEv6BJegRnYEF2A79gOvYDl2BdEjCkqkGtwXp0LNToIskOTXzh%2FF062yJ7AAAAEDAWAAABWhJ%2BKPEIJgBFxMVP7w2QJBGHASQnOBKXKFIdUK4igKA9IEaYJg%29%3Bsrc%3Aurl%28data%3Aapplication%2Fvnd%2Ems%2Dfontobject%3Bbase64%2Cn04AAEFNAAACAAIABAAAAAAABQAAAAAAAAABAJABAAAEAExQAAAAAAAAAAIAAAAAAAAAAAEAAAAAAAAAJxJ%2FLAAAAAAAAAAAAAAAAAAAAAAAACgARwBMAFkAUABIAEkAQwBPAE4AUwAgAEgAYQBsAGYAbABpAG4AZwBzAAAADgBSAGUAZwB1AGwAYQByAAAAeABWAGUAcgBzAGkAbwBuACAAMQAuADAAMAA5ADsAUABTACAAMAAwADEALgAwADAAOQA7AGgAbwB0AGMAbwBuAHYAIAAxAC4AMAAuADcAMAA7AG0AYQBrAGUAbwB0AGYALgBsAGkAYgAyAC4ANQAuADUAOAAzADIAOQAAADgARwBMAFkAUABIAEkAQwBPAE4AUwAgAEgAYQBsAGYAbABpAG4AZwBzACAAUgBlAGcAdQBsAGEAcgAAAAAAQlNHUAAAAAAAAAAAAAAAAAAAAAADAKncAE0TAE0ZAEbuFM3pjM%2FSEdmjKHUbyow8ATBE40IvWA3vTu8LiABDQ%2BpexwUMcm1SMnNryctQSiI1K5ZnbOlXKmnVV5YvRe6RnNMFNCOs1KNVpn6yZhCJkRtVRNzEufeIq7HgSrcx4S8h%2Fv4vnrrKc6oCNxmSk2uKlZQHBii6iKFoH0746ThvkO1kJHlxjrkxs%2BLWORaDQBEtiYJIR5IB9Bi1UyL4Rmr0BNigNkMzlKQmnofBHviqVzUxwdMb3NdCn69hy%2BpRYVKGVS%2F1tnsqv4LL7wCCPZZAZPT4aCShHjHJVNuXbmMrY5LeQaGnvAkXlVrJgKRAUdFjrWEah9XebPeQMj7KS7DIBAFt8ycgC5PLGUOHSE3ErGZCiViNLL5ZARfywnCoZaKQCu6NuFX42AEeKtKUGnr%2FCm2Cy8tpFhBPMW5Fxi4Qm4TkDWh4IWFDClhU2hRWosUWqcKLlgyXB%2BlSHaWaHiWlBAR8SeSgSPCQxdVQgzUixWKSTrIQEbU94viDctkvX%2BVSjJuUmV8L4CXShI11esnp0pjWNZIyxKHS4wVQ2ime1P4RnhvGw0aDN1OLAXGERsB7buFpFGGBAre4QEQR0HOIO5oYH305G%2BKspT%2FFupEGGafCCwxSe6ZUa%2B073rXHnNdVXE6eWvibUS27XtRzkH838mYLMBmYysZTM0EM3A1fbpCBYFccN1B%2FEnCYu%2FTgCGmr7bMh8GfYL%2BBfcLvB0gRagC09w9elfldaIy%2FhNCBLRgBgtCC7jAF63wLSMAfbfAlEggYU0bUA7ACCJmTDpEmJtI78w4%2FBO7dN7JR7J7ZvbYaUbaILSQsRBiF3HGk5fEg6p9unwLvn98r%2BvnsV%2B372uf1xBLq4qU%2F45fTuqaAP%2BpssmCCCTF0mhEow8ZXZOS8D7Q85JsxZ%2BAzok7B7O%2Ff6J8AzYBySZQB%2FQHYUSA%2BEeQhEWiS6AIQzgcsDiER4MjgMBAWDV4AgQ3g1eBgIdweCQmCjJEMkJ%2BPKRWyFHHmg1Wi%2F6xzUgA0LREoKJChwnQa9B%2B5RQZRB3IlBlkAnxyQNaANwHMowzlYSMCBgnbpzvqpl0iTJNCQidDI9ZrSYNIRBhHtUa5YHMHxyGEik9hDE0AKj72AbTCaxtHPUaKZdAZSnQTyjGqGLsmBStCejApUhg4uBMU6mATujEl%2BKdDPbI6Ag4vLr%2BhjY6lbjBeoLKnZl0UZgRX8gTySOeynZVz1wOq7e1hFGYIq%2BMhrGxDLak0PrwYzSXtcuyhXEhwOYofiW%2BEcI%2Fjw8P6IY6ed%2BetAbuqKp5QIapT77LnAe505lMuqL79a0ut4rWexzFttsOsLDy7zvtQzcq3U1qabe7tB0wHWVXji%2BzDbo8x8HyIRUbXnwUcklFv51fvTymiV%2BMXLSmGH9d9%2BaXpD5X6lao41anWGig7IwIdnoBY2ht%2FpO9mClLo4NdXHAsefqWUKlXJkbqPOFhMoR4aiA1BXqhRNbB2Xwi%2B7u%2FjpAoOpKJ0UX24EsrzMfHXViakCNcKjBxuQX8BO0ZqjJ3xXzf%2B61t2VXOSgJ8xu65QKgtN6FibPmPYsXbJRHHqbgATcSZxBqGiDiU4NNNsYBsKD0MIP%2FOfKnlk%2FLkaid%2FO2NbKeuQrwOB2Gq3YHyr6ALgzym5wIBnsdC1ZkoBFZSQXChZvlesPqvK2c5oHHT3Q65jYpNxnQcGF0EHbvYqoFw60WNlXIHQF2HQB7zD6lWjZ9rVqUKBXUT6hrkZOle0RFYII0V5ZYGl1JAP0Ud1fZZMvSomBzJ710j4Me8mjQDwEre5Uv2wQfk1ifDwb5ksuJQQ3xt423lbuQjvoIQByQrNDh1JxGFkOdlJvu%2FgFtuW0wR4cgd%2BZKesSV7QkNE2kw6AV4hoIuC02LGmTomyf8PiO6CZzOTLTPQ%2BHW06H%2Btx%2BbQ8LmDYg1pTFrp2oJXgkZTyeRJZM0C8aE2LpFrNVDuhARsN543%2FFV6klQ6Tv1OoZGXLv0igKrl%2FCmJxRmX7JJbJ998VSIPQRyDBICzl4JJlYHbdql30NvYcOuZ7a10uWRrgoieOdgIm4rlq6vNOQBuqESLbXG5lzdJGHw2m0sDYmODXbYGTfSTGRKpssTO95fothJCjUGQgEL4yKoGAF%2F0SrpUDNn8CBgBcSDQByAeNkCXp4S4Ro2Xh4OeaGRgR66PVOsU8bc6TR5%2FxTcn4IVMLOkXSWiXxkZQCbvKfmoAvQaKjO3EDKwkwqHChCDEM5loQRPd5ACBki1TjF772oaQhQbQ5C0lcWXPFOzrfsDGUXGrpxasbG4iab6eByaQkQfm0VFlP0ZsDkvvqCL6QXMUwCjdMx1ZOyKhTJ7a1GWAdOUcJ8RSejxNVyGs31OKMyRyBVoZFjqIkmKlLQ5eHMeEL4MkUf23cQ%2F1SgRCJ1dk4UdBT7OoyuNgLs0oCd8RnrEIb6QdMxT2QjD4zMrJkfgx5aDMcA4orsTtKCqWb%2FVeyceqa5OGSmB28YwH4rFbkQaLoUN8OQQYnD3w2eXpI4ScQfbCUZiJ4yMOIKLyyTc7BQ4uXUw6Ee6%2FxM%2B4Y67ngNBknxIPwuppgIhFcwJyr6EIj%2BLzNj%2FmfR2vhhRlx0BILZoAYruF0caWQ7YxO66UmeguDREAFHYuC7HJviRgVO6ruJH59h%2FC%2FPkgSle8xNzZJULLWq9JMDTE2fjGE146a1Us6PZDGYle6ldWRqn%2FpdpgHKNGrGIdkRK%2BKPETT9nKT6kLyDI8xd9A1FgWmXWRAIHwZ37WyZHOVyCadJEmMVz0MadMjDrPho%2BEIochkVC2xgGiwwsQ6DMv2P7UXqT4x7CdcYGId2BJQQa85EQKmCmwcRejQ9Bm4oATENFPkxPXILHpMPUyWTI5rjNOsIlmEeMbcOCEqInpXACYQ9DDxmFo9vcmsDblcMtg4tqBerNngkIKaFJmrQAPnq1dEzsMXcwjcHdfdCibcAxxA%2Bq%2Fj9m3LM%2FO7WJka4tSidVCjsvo2lQ%2F2ewyoYyXwAYyr2PlRoR5MpgVmSUIrM3PQxXPbgjBOaDQFIyFMJvx3Pc5RSYj12ySVF9fwFPQu2e2KWVoL9q3Ayv3IzpGHUdvdPdrNUdicjsTQ2ISy7QU3DrEytIjvbzJnAkmANXjAFERA0MUoPF3%2F5KFmW14bBNOhwircYgMqoDpUMcDtCmBE82QM2YtdjVLB4kBuKho%2FbcwQdeboqfQartuU3CsCf%2BcXkgYAqp%2F0Ee3RorAZt0AvvOCSI4JICIlGlsV0bsSid%2FNIEALAAzb6HAgyWHBps6xAOwkJIGcB82CxRQq4sJf3FzA70A%2BTRqcqjEMETCoez3mkPcpnoALs0ugJY8kQwrC%2BJE5ik3w9rzrvDRjAQnqgEVvdGrNwlanR0SOKWzxOJOvLJhcd8Cl4AshACUkv9czdMkJCVQSQhp6kp7StAlpVRpK0t0SW6LHeBJnE2QchB5Ccu8kxRghZXGIgZIiSj7gEKMJDClcnX6hgoqJMwiQDigIXg3ioFLCgDgjPtYHYpsF5EiA4kcnN18MZtOrY866dEQAb0FB34OGKHGZQjwW%2FWDHA60cYFaI%2FPjpzquUqdaYGcIq%2BmLez3WLFFCtNBN2QJcrlcoELgiPku5R5dSlJFaCEqEZle1AQzAKC%2B1SotMcBNyQUFuRHRF6OlimSBgjZeTBCwLyc6A%2BP%2FoFRchXTz5ADknYJHxzrJ5pGuIKRQISU6WyKTBBjD8WozmVYWIsto1AS5rxzKlvJu4E%2FvwOiKxRtCWsDM%2BeTHUrmwrCK5BIfMzGkD%2B0Fk5LzBs0jMYXktNDblB06LMNJ09U8pzSLmo14MS0OMjcdrZ31pyQqxJJpRImlSvfYAK8inkYU52QY2FPEVsjoWewpwhRp5yAuNpkqhdb7ku9Seefl2D0B8SMTFD90xi4CSOwwZy9IKkpMtI3FmFUg3%2FkFutpQGNc3pCR7gvC4sgwbupDu3DyEN%2BW6YGLNM21jpB49irxy9BSlHrVDlnihGKHwPrbVFtc%2Bh1rVQKZduxIyojccZIIcOCmhEnC7UkY68WXKQgLi2JCDQkQWJRQuk60hZp0D3rtCTINSeY9Ej2kIKYfGxwOs4j9qMM7fYZiipzgcf7TamnehqdhsiMiCawXnz4xAbyCkLAx5EGbo3Ax1u3dUIKnTxIaxwQTHehPl3V491H0%2BbC5zgpGz7Io%2BmjdhKlPJ01EeMpM7UsRJMi1nGjmJg35i6bQBAAxjO%2FENJubU2mg3ONySEoWklCwdABETcs7ck3jgiuU9pcKKpbgn%2B3YlzV1FzIkB6pmEDOSSyDfPPlQskznctFji0kpgZjW5RZe6x9kYT4KJcXg0bNiCyif%2BpZACCyRMmYsfiKmN9tSO65F0R2OO6ytlEhY5Sj6uRKfFxw0ijJaAx%2Fk3QgnAFSq27%2F2i4GEBA%2BUvTJKK%2F9eISNvG46Em5RZfjTYLdeD8kdXHyrwId%2FDQZUaMCY4gGbke2C8vfjgV%2FY9kkRQOJIn%2FxM9INZSpiBnqX0Q9GlQPpPKAyO5y%2BW5NMPSRdBCUlmuxl40ZfMCnf2Cp044uI9WLFtCi4YVxKjuRCOBWIb4XbIsGdbo4qtMQnNOQz4XDSui7W%2FN6l54qOynCqD3DpWQ%2BmpD7C40D8BZEWGJX3tlAaZBMj1yjvDYKwCJBa201u6nBKE5UE%2B7QSEhCwrXfbRZylAaAkplhBWX50dumrElePyNMRYUrC99UmcSSNgImhFhDI4BXjMtiqkgizUGCrZ8iwFxU6fQ8GEHCFdLewwxYWxgScAYMdMLmcZR6b7rZl95eQVDGVoUKcRMM1ixXQtXNkBETZkVVPg8LoSrdetHzkuM7DjZRHP02tCxA1fmkXKF3VzfN1pc1cv%2F8lbTIkkYpqKM9VOhp65ktYk%2BQ46myFWBapDfyWUCnsnI00QTBQmuFjMZTcd0V2NQ768Fhpby04k2IzNR1wKabuGJqYWwSly6ocMFGTeeI%2BejsWDYgEvr66QgqdcIbFYDNgsm0x9UHY6SCd5%2B7tpsLpKdvhahIDyYmEJQCqMqtCF6UlrE5GXRmbu%2Bvtm3BFSxI6ND6UxIE7GsGMgWqghXxSnaRJuGFveTcK5ZVSPJyjUxe1dKgI6kNF7EZhIZs8y8FVqwEfbM0Xk2ltORVDKZZM40SD3qQoQe0orJEKwPfZwm3YPqwixhUMOndis6MhbmfvLBKjC8sKKIZKbJk8L11oNkCQzCgvjhyyEiQSuJcgCQSG4Mocfgc0Hkwcjal1UNgP0CBPikYqBIk9tONv4kLtBswH07vUCjEaHiFGlLf8MgXKzSgjp2HolRRccAOh0ILHz9qlGgIFkwAnzHJRjWFhlA7ROwINyB5HFj59PRZHFor6voq7l23EPNRwdWhgawqbivLSjRA4htEYUFkjESu67icTg5S0aW1sOkCiIysfJ9UnIWevOOLGpepcBxy1wEhd2WI3AZg7sr9WBmHWyasxMcvY%2FiOmsLtHSWNUWEGk9hScMPShasUA1AcHOtRZlqMeQ0OzYS9vQvYUjOLrzP07BUAFikcJNMi7gIxEw4pL1G54TcmmmoAQ5s7TGWErJZ2Io4yQ0ljRYhL8H5e62oDtLF8aDpnIvZ5R3GWJyAugdiiJW9hQAVTsnCBHhwu7rkBlBX6r3b7ejEY0k5GGeyKv66v%2B6dg7mcJTrWHbtMywbedYqCQ0FPwoytmSWsL8WTtChZCKKzEF7vP6De4x2BJkkniMgSdWhbeBSLtJZR9CTHetK1xb34AYIJ37OegYIoPVbXgJ%2FqDQK%2BbfCtxQRVKQu77WzOoM6SGL7MaZwCGJVk46aImai9fmam%2BWpHG%2B0BtQPWUgZ7RIAlPq6lkECUhZQ2gqWkMYKcYMYaIc4gYCDFHYa2d1nzp3%2BJ1eCBay8IYZ0wQRKGAqvCuZ%2FUgbQPyllosq%2BXtfKIZOzmeJqRazpmmoP%2F76YfkjzV2NlXTDSBYB04SVlNQsFTbGPk1t%2FI4Jktu0XSgifO2ozFOiwd%2F0SssJDn0dn4xqk4GDTTKX73%2FwQyBLdqgJ%2BWx6AQaba3BA9CKEzjtQYIfAsiYamapq80LAamYjinlKXUkxdpIDk0puXUEYzSalfRibAeDAKpNiqQ0FTwoxuGYzRnisyTotdVTclis1LHRQCy%2FqqL8oUaQzWRxilq5Mi0IJGtMY02cGLD69vGjkj3p6pGePKI8bkBv5evq8SjjyU04vJR2cQXQwSJyoinDsUJHCQ50jrFTT7yRdbdYQMB3MYCb6uBzJ9ewhXYPAIZSXfeEQBZZ3GPN3Nbhh%2FwkvAJLXnQMdi5NYYZ5GHE400GS5rXkOZSQsdZgIbzRnF9ueLnsfQ47wHAsirITnTlkCcuWWIUhJSbpM3wWhXNHvt2xUsKKMpdBSbJnBMcihkoDqAd1Zml%2FR4yrzow1Q2A5G%2Bkzo%2FRhRxQS2lCSDRV8LlYLBOOoo1bF4jwJAwKMK1tWLHlu9i0j4Ig8qVm6wE1DxXwAwQwsaBWUg2pOOol2dHxyt6npwJEdLDDVYyRc2D0HbcbLUJQj8gPevQBUBOUHXPrsAPBERICpnYESeu2OHotpXQxRGlCCtLdIsu23MhZVEoJg8Qumj%2FUMMc34IBqTKLDTp76WzL%2FdMjCxK7MjhiGjeYAC%2Fkj%2FjY%2FRde7hpSM1xChrog6yZ7OWTuD56xBJnGFE%2BpT2ElSyCnJcwVzCjkqeNLfMEJqKW0G7OFIp0G%2B9mh50I9o8k1tpCY0xYqFNIALgIfc2me4n1bmJnRZ89oepgLPT0NTMLNZsvSCZAc3TXaNB07vail36%2FdBySis4m9%2FDR8izaLJW6bWCkVgm5T%2Bius3ZXq4xI%2BGnbveLbdRwF2mNtsrE0JjYc1AXknCOrLSu7Te%2Fr4dPYMCl5qtiHNTn%2BTPbh1jCBHH%2BdMJNhwNgs3nT%2BOhQoQ0vYif56BMG6WowAcHR3DjQolxLzyVekHj00PBAaW7IIAF1EF%2BuRIWyXjQMAs2chdpaKPNaB%2BkSezYt0%2BCA04sOg5vx8Fr7Ofa9sUv87h7SLAUFSzbetCCZ9pmyLt6l6%2FTzoA1%2FZBG9bIUVHLAbi%2FkdBFgYGyGwRQGBpkqCEg2ah9UD6EedEcEL3j4y0BQQCiExEnocA3SZboh%2Bepgd3YsOkHskZwPuQ5OoyA0fTA5AXrHcUOQF%2BzkJHIA7PwCDk1gGVmGUZSSoPhNf%2BTklauz98QofOlCIQ%2FtCD4dosHYPqtPCXB3agggQQIqQJsSkB%2Bqn0rkQ1toJjON%2FOtCIB9RYv3PqRA4C4U68ZMlZn6BdgEvi2ziU%2BTQ6NIw3ej%2BAtDwMGEZk7e2IjxUWKdAxyaw9OCwSmeADTPPleyk6UhGDNXQb%2B%2BW6Uk4q6F7%2Frg6WVTo82IoCxSIsFDrav4EPHphD3u4hR53WKVvYZUwNCCeM4PMBWzK%2BEfIthZOkuAwPo5C5jgoZgn6dUdvx5rIDmd58cXXdKNfw3l%2BwM2UjgrDJeQHhbD7HW2QDoZMCujgIUkk5Fg8VCsdyjOtnGRx8wgKRPZN5dR0zPUyfGZFVihbFRniXZFOZGKPnEQzU3AnD1KfR6weHW2XS6KbPJxUkOTZsAB9vTVp3Le1F8q5l%2BDMcLiIq78jxAImD2pGFw0VHfRatScGlK6SMu8leTmhUSMy8Uhdd6xBiH3Gdman4tjQGLboJfqz6fL2WKHTmrfsKZRYX6BTDjDldKMosaSTLdQS7oDisJNqAUhw1PfTlnacCO8vl8706Km1FROgLDmudzxg%2BEWTiArtHgLsRrAXYWdB0NmToNCJdKm0KWycZQqb%2BMw76Qy29iQ5up%2FX7oyw8QZ75kP5F6iJAJz6KCmqxz8fEa%2FxnsMYcIO%2FvEkGRuMckhr4rIeLrKaXnmIzlNLxbFspOphkcnJdnz%2FChp%2FVlpj2P7jJQmQRwGnltkTV5dbF9fE3%2FfxoSqTROgq9wFUlbuYzYcasE0ouzBo%2BdDCDzxKAfhbAZYxQiHrLzV2iVexnDX%2FQnT1fsT%2Fxuhu1ui5qIytgbGmRoQkeQooO8eJNNZsf0iALur8QxZFH0nCMnjerYQqG1pIfjyVZWxhVRznmmfLG00BcBWJE6hzQWRyFknuJnXuk8A5FRDCulwrWASSNoBtR%2BCtGdkPwYN2o7DOw%2FVGlCZPusRBFXODQdUM5zeHDIVuAJBLqbO%2Ff9Qua%2BpDqEPk230Sob9lEZ8BHiCorjVghuI0lI4JDgHGRDD%2FprQ84B1pVGkIpVUAHCG%2Biz3Bn3qm2AVrYcYWhock4jso5%2BJ7HfHVj4WMIQdGctq3psBCVVzupQOEioBGA2Bk%2BUILT7%2BVoX5mdxxA5fS42gISQVi%2FHTzrgMxu0fY6hE1ocUwwbsbWcezrY2n6S8%2F6cxXkOH4prpmPuFoikTzY7T85C4T2XYlbxLglSv2uLCgFv8Quk%2FwdesUdWPeHYIH0R729JIisN9Apdd4eB10aqwXrPt%2BSu9mA8k8n1sjMwnfsfF2j3jMUzXepSHmZ%2FBfqXvzgUNQQWOXO8YEuFBh4QTYCkOAPxywpYu1VxiDyJmKVcmJPGWk%2Fgc3Pov02StyYDahwmzw3E1gYC9wkupyWfDqDSUMpCTH5e5N8B%2F%2FlHiMuIkTNw4USHrJU67bjXGqNav6PBuQSoqTxc8avHoGmvqNtXzIaoyMIQIiiUHIM64cXieouplhNYln7qgc4wBVAYR104kO%2BCvKqsg4yIUlFNThVUAKZxZt1XA34h3TCUUiXVkZ0w8Hh2R0Z5L0b4LZvPd%2Fp1gi%2F07h8qfwHrByuSxglc9cI4QIg2oqvC%2Fqm0i7tjPLTgDhoWTAKDO2ONW5oe%2B%2FeKB9vZB8K6C25yCZ9RFVMnb6NRdRjyVK57CHHSkJBfnM2%2Fj4ODUwRkqrtBBCrDsDpt8jhZdXoy%2F1BCqw3sSGhgGGy0a5Jw6BP%2FTExoCmNFYjZl248A0osgPyGEmRA%2BfAsqPVaNAfytu0vuQJ7rk3J4kTDTR2AlCHJ5cls26opZM4w3jMULh2YXKpcqGBtuleAlOZnaZGbD6DHzMd6i2oFeJ8z9XYmalg1Szd%2FocZDc1C7Y6vcALJz2lYnTXiWEr2wawtoR4g3jvWUU2Ngjd1cewtFzEvM1NiHZPeLlIXFbBPawxNgMwwAlyNSuGF3zizVeOoC9bag1qRAQKQE%2FEZBWC2J8mnXAN2aTBboZ7HewnObE8CwROudZHmUM5oZ%2FUgd%2FJZQK8lvAm43uDRAbyW8gZ%2BZGq0EVerVGUKUSm%2FIdn8AQHdR4m7bue88WBwft9mSCeMOt1ncBwziOmJYI2ZR7ewNMPiCugmSsE4EyQ%2BQATJG6qORMGd4snEzc6B4shPIo4G1T7PgSm8PY5eUkPdF8JZ0VBtadbHXoJgnEhZQaODPj2gpODKJY5Yp4DOsLBFxWbvXN755KWylJm%2BoOd4zEL9Hpubuy2gyyfxh8oEfFutnYWdfB8PdESLWYvSqbElP9qo3u6KTmkhoacDauMNNjj0oy40DFV7Ql0aZj77xfGl7TJNHnIwgqOkenruYYNo6h724%2BzUQ7%2BvkCpZB%2BpGA562hYQiDxHVWOq0oDQl%2FQsoiY%2BcuI7iWq%2FZIBtHcXJ7kks%2Bh2fCNUPA82BzjnqktNts%2BRLdk1VSu%2BtqEn7QZCCsvEqk6FkfiOYkrsw092J8jsfIuEKypNjLxrKA9kiA19mxBD2suxQKCzwXGws7kEJvlhUiV9tArLIdZW0IORcxEzdzKmjtFhsjKy%2F44XYXdI5noQoRcvjZ1RMPACRqYg2V1%2BOwOepcOknRLLFdYgTkT5UApt%2FJhLM3jeFYprZV%2BZow2g8fP%2BU68hkKFWJj2yBbKqsrp25xkZX1DAjUw52IMYWaOhab8Kp05VrdNftqwRrymWF4OQSjbdfzmRZirK8FMJELEgER2PHjEAN9pGfLhCUiTJFbd5LBkOBMaxLr%2FA1SY9dXFz4RjzoU9ExfJCmx%2FI9FKEGT3n2cmzl2X42L3Jh%2BAbQq6sA%2BSs1kitoa4TAYgKHaoybHUDJ51oETdeI%2F9ThSmjWGkyLi5QAGWhL0BG1UsTyRGRJOldKBrYJeB8ljLJHfATWTEQBXBDnQexOHTB%2BUn44zExFE4vLytcu5NwpWrUxO%2F0ZICUGM7hGABXym0V6ZvDST0E370St9MIWQOTWngeoQHUTdCJUP04spMBMS8LSker9cReVQkULFDIZDFPrhTzBl6sed9wcZQTbL%2BBDqMyaN3RJPh%2Fanbx%2BIv%2BqgQdAa3M9Z5JmvYlh4qop%2BHo1F1W5gbOE9YKLgAnWytXElU4G8GtW47lhgFE6gaSs%2Bgs37sFvi0PPVvA5dnCBgILTwoKd%2F%2BDoL9F6inlM7H4rOTzD79KJgKlZO%2FZgt22UsKhrAaXU5ZcLrAglTVKJEmNJvORGN1vqrcfSMizfpsgbIe9zno%2BgBoKVXgIL%2FVI8dB1O5o%2FR3Suez%2FgD7M781ShjKpIIORM%2FnxG%2BjjhhgPwsn2IoXsPGPqYHXA63zJ07M2GPEykQwJBYLK808qYxuIew4frk52nhCsnCYmXiR6CuapvE1IwRB4%2FQftDbEn%2BAucIr1oxrLabRj9q4ae0%2BfXkHnteAJwXRbVkR0mctVSwEbqhJiMSZUp9DNbEDMmjX22m3ABpkrPQQTP3S1sib5pD2VRKRd%2BeNAjLYyT0hGrdjWJZy24OYXRoWQAIhGBZRxuBFMjjZQhpgrWo8SiFYbojcHO8V5DyscJpLTHyx9Fimassyo5U6WNtquUMYgccaHY5amgR3PQzq3ToNM5ABnoB9kuxsebqmYZm0R9qxJbFXCQ1UPyFIbxoUraTJFDpCk0Wk9GaYJKz%2F6oHwEP0Q14lMtlddQsOAU9zlYdMVHiT7RQP3XCmWYDcHCGbVRHGnHuwzScA0BaSBOGkz3lM8CArjrBsyEoV6Ys4qgDK3ykQQPZ3hCRGNXQTNNXbEb6tDiTDLKOyMzRhCFT%2BmAUmiYbV3YQVqFVp9dorv%2BTsLeCykS2b5yyu8AV7IS9cxcL8z4Kfwp%2BxJyYLv1OsxQCZwTB4a8BZ%2F5EdxTBJthApqyfd9u3ifr%2FWILTqq5VqgwMT9SOxbSGWLQJUUWCVi4k9tho9nEsbUh7U6NUsLmkYFXOhZ0kmamaJLRNJzSj%2Fqn4Mso6zb6iLLBXoaZ6AqeWCjHQm2lztnejYYM2eubnpBdKVLORZhudH3JF1waBJKA9%2BW8EhMj3Kzf0L4vi4k6RoHh3Z5YgmSZmk6ns4fjScjAoL8GoOECgqgYEBYUGFVO4FUv4%2FYtowhEmTs0vrvlD%2FCrisnoBNDAcUi%2FteY7OctFlmARQzjOItrrlKuPO6E2Ox93L4O%2F4DcgV%2FdZ7qR3VBwVQxP1GCieA4RIpweYJ5FoYrHxqRBdJjnqbsikA2Ictbb8vE1GYIo9dacK0REgDX4smy6GAkxlH1yCGGsk%2BtgiDhNKuKu3yNrMdxafmKTF632F8Vx4BNK57GvlFisrkjN9WDAtjsWA0ENT2e2nETUb%2Fn7qwhvGnrHuf5bX6Vh%2Fn3xffU3PeHdR%2BFA92i6ufT3AlyAREoNDh6chiMWTvjKjHDeRhOa9YkOQRq1vQXEMppAQVwHCuIcV2g5rBn6GmZZpTR7vnSD6ZmhdSl176gqKTXu5E%2BYbfL0adwNtHP7dT7t7b46DVZIkzaRJOM%2BS6KcrzYVg%2BT3wSRFRQashjfU18NutrKa%2F7PXbtuJvpIjbgPeqd%2BpjmRw6YKpnANFSQcpzTZgpSNJ6J7uiagAbir%2F8tNXJ%2FOsOnRh6iuIexxrmkIneAgz8QoLmiaJ8sLQrELVK2yn3wOHp57BAZJhDZjTBzyoRAuuZ4eoxHruY1pSb7qq79cIeAdOwin4GdgMeIMHeG%2BFZWYaiUQQyC5b50zKjYw97dFjAeY2I4Bnl105Iku1y0lMA1ZHolLx19uZnRdILcXKlZGQx%2FGdEqSsMRU1BIrFqRcV1qQOOHyxOLXEGcbRtAEsuAC2V4K3p5mFJ22IDWaEkk9ttf5Izb2LkD1MnrSwztXmmD%2FQi%2FEmVEFBfiKGmftsPwVaIoZanlKndMZsIBOskFYpDOq3QUs9aSbAAtL5Dbokus2G4%2FasthNMK5UQKCOhU97oaOYNGsTah%2BjfCKsZnTRn5TbhFX8ghg8CBYt%2FBjeYYYUrtUZ5jVij%2Fop7V5SsbA4mYTOwZ46hqdpbB6Qvq3AS2HHNkC15pTDIcDNGsMPXaBidXYPHc6PJAkRh29Vx8KcgX46LoUQBhRM%2B3SW6Opll%2FwgxxsPgKJKzr5QCmwkUxNbeg6Wj34SUnEzOemSuvS2OetRCO8Tyy%2BQbSKVJcqkia%2BGvDefFwMOmgnD7h81TUtMn%2BmRpyJJ349HhAnoWFTejhpYTL9G8N2nVg1qkXBeoS9Nw2fB27t7trm7d%2FQK7Cr4uoCeOQ7%2F8JfKT77KiDzLImESHw%2F0wf73QeHu74hxv7uihi4fTX%2BXEwAyQG3264dwv17aJ5N335Vt9sdrAXhPOAv8JFvzqyYXwfx8WYJaef1gMl98JRFyl5Mv5Uo%2FoVH5ww5OzLFsiTPDns7fS6EURSSWd%2F92BxMYQ8sBaH%2Bj%2BwthQPdVgDGpTfi%2BJQIWMD8xKqULliRH01rTeyF8x8q%2FGBEEEBrAJMPf25UQwi0b8tmqRXY7kIvNkzrkvRWLnxoGYEJsz8u4oOyMp8cHyaybb1HdMCaLApUE%2B%2F7xLIZGP6H9xuSEXp1zLIdjk5nBaMuV%2FyTDRRP8Y2ww5RO6d2D94o%2B6ucWIqUAvgHIHXhZsmDhjVLczmZ3ca0Cb3PpKwt2UtHVQ0BgFJsqqTsnzZPlKahRUkEu4qmkJt%2Bkqdae76ViWe3STan69yaF9%2BfESD2lcQshLHWVu4ovItXxO69bqC5p1nZLvI8NdQB9s9UNaJGlQ5mG947ipdDA0eTIw%2FA1zEdjWquIsQXXGIVEH0thC5M%2BW9pZe7IhAVnPJkYCCXN5a32HjN6nsvokEqRS44tGIs7s2LVTvcrHAF%2BRVmI8L4HUYk4x%2B67AxSMJKqCg8zrGOgvK9kNMdDrNiUtSWuHFpC8%2Fp5qIQrEo%2FH%2B1l%2F0cAwQ2nKmpWxKcMIuHY44Y6DlkpO48tRuUGBWT0FyHwSKO72Ud%2BtJUfdaZ4CWNijzZtlRa8%2BCkmO%2FEwHYfPZFU%2FhzjFWH7vnzHRMo%2BaF9u8qHSAiEkA2HjoNQPEwHsDKOt6hOoK3Ce%2F%2B%2F9boMWDa44I6FrQhdgS7OnNaSzwxWKZMcyHi6LN4WC6sSj0qm2PSOGBTvDs%2FGWJS6SwEN%2FULwpb4LQo9fYjUfSXRwZkynUazlSpvX9e%2BG2zor8l%2BYaMxSEomDdLHGcD6YVQPegTaA74H8%2BV4WvJkFUrjMLGLlvSZQWvi8%2FQA7yzQ8GPno%2F%2F5SJHRP%2FOqKObPCo81s%2F%2B6WgLqykYpGAgQZhVDEBPXWgU%2FWzFZjKUhSFInufPRiMAUULC6T11yL45ZrRoB4DzOyJShKXaAJIBS9wzLYIoCEcJKQW8GVCx4fihqJ6mshBUXSw3wWVj3grrHQlGNGhIDNNzsxQ3M%2BGWn6ASobIWC%2BLbYOC6UpahVO13Zs2zOzZC8z7FmA05JhUGyBsF4tsG0drcggIFzgg%2Fkpf3%2BCnAXKiMgIE8Jk%2FMhpkc8DUJEUzDSnWlQFme3d0sHZDrg7LavtsEX3cHwjCYA17pMTfx8Ajw9hHscN67hyo%2BRJQ4458RmPywXykkVcW688oVUrQhahpPRvTWPnuI0B%2BSkQu7dCyvLRyFYlC1LG1gRCIvn3rwQeINzZQC2KXq31FaR9UmVV2QeGVqBHjmE%2BVMd3b1fhCynD0pQNhCG6%2FWCDbKPyE7NRQzL3BzQAJ0g09aUzcQA6mUp9iZFK6Sbp%2FYbHjo%2B%2B7%2FWj8S4YNa%2BZdqAw1hDrKWFXv9%2BzaXpf8ZTDSbiqsxnwN%2FCzK5tPkOr4tRh2kY3Bn9JtalbIOI4b3F7F1vPQMfoDcdxMS8CW9m%2FNCW%2FHILTUVWQIPiD0j1A6bo8vsv6P1hCESl2abrSJWDrq5sSzUpwoxaCU9FtJyYH4QFMxDBpkkBR6kn0LMPO%2B5EJ7Z6bCiRoPedRZ%2FP0SSdii7ZnPAtVwwHUidcdyspwncz5uq6vvm4IEDbJVLUFCn%2FLvIHfooUBTkFO130FC7CmmcrKdgDJcid9mvVzsDSibOoXtIf9k6ABle3PmIxejodc4aob0QKS432srrCMndbfD454q52V01G4q913mC5HOsTzWF4h2No1av1VbcUgWAqyoZl%2B11PoFYnNv2HwAODeNRkHj%2B8SF1fcvVBu6MrehHAZK1Gm69ICcTKizykHgGFx7QdowTVAsYEF2tVc0Z6wLryz2FI1sc5By2znJAAmINndoJiB4sfPdPrTC8RnkW7KRCwxC6YvXg5ahMlQuMpoCSXjOlBy0Kij%2BbsCYPbGp8BdCBiLmLSAkEQRaieWo1SYvZIKJGj9Ur%2FeWHjiB7SOVdqMAVmpBvfRiebsFjger7DC%2B8kRFGtNrTrnnGD2GAJb8rQCWkUPYHhwXsjNBSkE6lGWUj5QNhK0DMNM2l%2BkXRZ0KLZaGsFSIdQz%2FHXDxf3%2FTE30%2BDgBKWGWdxElyLccJfEpjsnszECNoDGZpdwdRgCixeg9L4EPhH%2BRptvRMVRaahu4cySjS3P5wxAUCPkmn%2BrhyASpmiTaiDeggaIxYBmtLZDDhiWIJaBgzfCsAGUF1Q1SFZYyXDt9skCaxJsxK2Ms65dmdp5WAZyxik%2FzbrTQk5KmgxCg%2Ff45L0jywebOWUYFJQAJia7XzCV0x89rpp%2Ff3AVWhSPyTanqmik2SkD8A3Ml4NhIGLAjBXtPShwKYfi2eXtrDuKLk4QlSyTw1ftXgwqA2jUuopDl%2B5tfUWZNwBpEPXghzbBggYCw%2Fdhy0ntds2yeHCDKkF%2FYxQjNIL%2FF%2F37jLPHCKBO9ibwYCmuxImIo0ijV2Wbg3kSN2psoe8IsABv3RNFaF9uMyCtCYtqcD%2BqNOhwMlfARQUdJ2tUX%2BMNJqOwIciWalZsmEjt07tfa8ma4cji9sqz%2BQ9hWfmMoKEbIHPOQORbhQRHIsrTYlnVTNvcq1imqmmPDdVDkJgRcTgB8Sb6epCQVmFZe%2BjGDiNJQLWnfx%2BdrTKYjm0G8yH0ZAGMWzEJhUEQ4Maimgf%2Fbkvo8PLVBsZl152y5S8%2BHRDfZIMCbYZ1WDp4yrdchOJw8k6R%2B%2F2pHmydK4NIK2PHdFPHtoLmHxRDwLFb7eB%2BM4zNZcB9NrAgjVyzLM7xyYSY13ykWfIEEd2n5%2FiYp3ZdrCf7fL%2Ben%2BsIJu2W7E30MrAgZBD1rAAbZHPgeAMtKCg3NpSpYQUDWJu9bT3V7tOKv%2BNRiJc8JAKqqgCA%2FPNRBR7ChpiEulyQApMK1AyqcWnpSOmYh6yLiWkGJ2mklCSPIqN7UypWj3dGi5MvsHQ87MrB4VFgypJaFriaHivwcHIpmyi5LhNqtem4q0n8awM19Qk8BOS0EsqGscuuydYsIGsbT5GHnERUiMpKJl4ON7qjB4fEqlGN%2FhCky89232UQCiaeWpDYCJINXjT6xl4Gc7DxRCtgV0i1ma4RgWLsNtnEBRQFqZggCLiuyEydmFd7WlogpkCw5G1x4ft2psm3KAREwVwr1Gzl6RT7FDAqpVal34ewVm3VH4qn5mjGj%2BbYL1NgfLNeXDwtmYSpwzbruDKpTjOdgiIHDVQSb5%2FzBgSMbHLkxWWgghIh9QTFSDILixVwg0Eg1puooBiHAt7DzwJ7m8i8%2Fi%2BjHvKf0QDnnHVkVTIqMvIQImOrzCJwhSR7qYB5gSwL6aWL9hERHCZc4G2%2BJrpgHNB8eCCmcIWIQ6rSdyPCyftXkDlErUkHafHRlkOIjxGbAktz75bnh50dU7YHk%2BMz7wwstg6RFZb%2BTZuSOx1qqP5C66c0mptQmzIC2dlpte7vZrauAMm%2F7RfBYkGtXWGiaWTtwvAQiq2oD4YixPLXE2khB2FRaNRDTk%2B9sZ6K74Ia9VntCpN4BhJGJMT4Z5c5FhSepRCRWmBXqx%2BwhVZC4me4saDs2iNqXMuCl6iAZflH8fscC1sTsy4PHeC%2BXYuqMBMUun5YezKbRKmEPwuK%2BCLzijPEQgfhahQswBBLfg%2FGBgBiI4QwAqzJkkyYAWtjzSg2ILgMAgqxYfwERRo3zruBL9WOryUArSD8sQOcD7fvIODJxKFS615KFPsb68USBEPPj1orNzFY2xoTtNBVTyzBhPbhFH0PI5AtlJBl2aSgNPYzxYLw7XTDBDinmVoENwiGzmngrMo8OmnRP0Z0i0Zrln9DDFcnmOoBZjABaQIbPOJYZGqX%2BRCMlDDbElcjaROLDoualmUIQ88Kekk3iM4OQrADcxi3rJguS4MOIBIgKgXrjd1WkbCdqxJk%2F4efRIFsavZA7KvvJQqp3Iid5Z0NFc5aiMRzGN3vrpBzaMy4JYde3wr96PjN90AYOIbyp6T4zj8LoE66OGcX1Ef4Z3KoWLAUF4BTg7ug%2FAbkG5UNQXAMkQezujSHeir2uTThgd3gpyzDrbnEdDRH2W7U6PeRvBX1ZFMP5RM%2BZu6UUZZD8hDPHldVWntTCNk7To8IeOW9yn2wx0gmurwqC60AOde4r3ETi5pVMSDK8wxhoGAoEX9NLWHIR33VbrbMveii2jAJlrxwytTHbWNu8Y4N8vCCyZjAX%2FpcsfwXbLze2%2BD%2Bu33OGBoJyAAL3jn3RuEcdp5If8O%2Ba4NKWvxOTyDltG0IWoHhwVGe7dKkCWFT%2B%2Btm%2BhaBCikRUUMrMhYKZJKYoVuv%2FbsJzO8DwfVIInQq3g3BYypiz8baogH3r3GwqCwFtZnz4xMjAVOYnyOi5HWbFA8n0qz1OjSpHWFzpQOpvkNETZBGpxN8ybhtqV%2FDMUxd9uFZmBfKXMCn%2FSqkWJyKPnT6lq%2B4zBZni6fYRByJn6OK%2BOgPBGRAJluwGSk4wxjOOzyce%2FPKODwRlsgrVkdcsEiYrqYdXo0Er2GXi2GQZd0tNJT6c9pK1EEJG1zgDJBoTVuCXGAU8BKTvCO%2FcEQ1Wjk3Zzuy90JX4m3O5IlxVFhYkSUwuQB2up7jhvkm%2BbddRQu5F9s0XftGEJ9JSuSk%2BZachCbdU45fEqbugzTIUokwoAKvpUQF%2FCvLbWW5BNQFqFkJg2f30E%2F48StNe5QwBg8zz3YAJ82FZoXBxXSv4QDooDo79NixyglO9AembuBcx5Re3CwOKTHebOPhkmFC7wNaWtoBhFuV4AkEuJ0J%2B1pT0tLkvFVZaNzfhs%2FKd3%2BA9YsImlO4XK4vpCo%2FelHQi%2F9gkFg07xxnuXLt21unCIpDV%2BbbRxb7FC6nWYTsMFF8%2B1LUg4JFjVt3vqbuhHmDKbgQ4e%2BRGizRiO8ky05LQGMdL2IKLSNar0kNG7lHJMaXr5mLdG3nykgj6vB%2FKVijd1ARWkFEf3yiUw1v%2FWaQivVUpIDdSNrrKbjO5NPnxz6qTTGgYg03HgPhDrCFyYZTi3XQw3HXCva39mpLNFtz8AiEhxAJHpWX13gCTAwgm9YTvMeiqetdNQv6IU0hH0G%2BZManTqDLPjyrOse7WiiwOJCG%2BJ0pZYULhN8NILulmYYvmVcV2MjAfA39sGKqGdjpiPo86fecg65UPyXDIAOyOkCx5NQsLeD4gGVjTVDwOHWkbbBW0GeNjDkcSOn2Nq4cEssP54t9D749A7M1AIOBl0Fi0sSO5v3P7LCBrM6ZwFY6kp2FX6AcbGUdybnfChHPyu6WlRZ2Fwv9YM0RMI7kISRgR8HpQSJJOyTfXj%2F6gQKuihPtiUtlCQVPohUgzfezTg8o1b3n9pNZeco1QucaoXe40Fa5JYhqdTspFmxGtW9h5ezLFZs3j%2FN46f%2BS2rjYNC2JySXrnSAFhvAkz9a5L3pza8eYKHNoPrvBRESpxYPJdKVUxBE39nJ1chrAFpy4MMkf0qKgYALctGg1DQI1kIymyeS2AJNT4X240d3IFQb%2F0jQbaHJ2YRK8A%2Bls6WMhWmpCXYG5jqapGs5%2FeOJErxi2%2F2KWVHiPellTgh%2FfNl%2F2KYPKb7DUcAg%2BmCOPQFCiU9Mq%2FWLcU1xxC8aLePFZZlE%2BPCLzf7ey46INWRw2kcXySR9FDgByXzfxiNKwDFbUSMMhALPFSedyjEVM5442GZ4hTrsAEvZxIieSHGSgkwFh%2FnFNdrrFD4tBH4Il7fW6ur4J8Xaz7RW9jgtuPEXQsYk7gcMs2neu3zJwTyUerHKSh1iTBkj2YJh1SSOZL5pLuQbFFAvyO4k1Hxg2h99MTC6cTUkbONQIAnEfGsGkNFWRbuRyyaEZInM5pij73EA9rPIUfU4XoqQpHT9THZkW%2BoKFLvpyvTBMM69tN1Ydwv1LIEhHsC%2BueVG%2Bw%2BkyCPsvV3erRikcscHjZCkccx6VrBkBRusTDDd8847GA7p2Ucy0y0HdSRN6YIBciYa4vuXcAZbQAuSEmzw%2BH%2FAuOx%2BaH%2BtBL88H57D0MsqyiZxhOEQkF%2F8DR1d2hSPMj%2FsNOa5rxcUnBgH8ictv2J%2Bcb4BA4v3MCShdZ2vtK30vAwkobnEWh7rsSyhmos3WC93Gn9C4nnAd%2FPjMMtQfyDNZsOPd6XcAsnBE%2FmRHtHEyJMzJfZFLE9OvQa0i9kUmToJ0ZxknTgdl%2FXPV8xoh0K7wNHHsnBdvFH3sv52lU7UFteseLG%2FVanIvcwycVA7%2BBE1Ulyb20BvwUWZcMTKhaCcmY3ROpvonVMV4N7yBXTL7IDtHzQ4CCcqF66LjF3xUqgErKzolLyCG6Kb7irP%2FMVTCCwGRxfrPGpMMGvPLgJ881PHMNMIO09T5ig7AzZTX%2F5PLlwnJLDAPfuHynSGhV4tPqR3gJ4kg4c06c%2FF1AcjGytKm2Yb5jwMotF7vro4YDLWlnMIpmPg36NgAZsGA0W1spfLSue4xxat0Gdwd0lqDBOgIaMANykwwDKejt5YaNtJYIkrSgu0KjIg0pznY0SCd1qlC6R19g97UrWDoYJGlrvCE05J%2F5wkjpkre727p5PTRX5FGrSBIfJqhJE%2FIS876PaHFkx9pGTH3oaY3jJRvLX9Iy3Edoar7cFvJqyUlOhAEiOSAyYgVEGkzHdug%2BoRHIEOXAExMiTSKU9A6nmRC8mp8iYhwWdP2U%2F5EkFAdPrZw03YA3gSyNUtMZeh7dDCu8pF5x0VORCTgKp07ehy7NZqKTpIC4UJJ89lnboyAfy5OyXzXtuDRbtAFjZRSyGFTpFrXwkpjSLIQIG3N0Vj4BtzK3wdlkBJrO18MNsgseR4BysJilI0wI6ZahLhBFA0XBmV8d4LUzEcNVb0xbLjLTETYN8OEVqNxkt10W614dd1FlFFVTIgB7%2FBQQp1sWlNolpIu4ekxUTBV7NmxOFKEBmmN%2BnA7pvF78%2FRII5ZHA09OAiE%2F66MF6HQ%2BqVEJCHxwymukkNvzqHEh52dULPbVasfQMgTDyBZzx4007YiKdBuUauQOt27Gmy8ISclPmEUCIcuLbkb1mzQSqIa3iE0PJh7UMYQbkpe%2BhXjTJKdldyt2mVPwywoODGJtBV1lJTgMsuSQBlDMwhEKIfrvsxGQjHPCEfNfMAY2oxvyKcKPUbQySkKG6tj9AQyEW3Q5rpaDJ5Sns9ScLKeizPRbvWYAw4bXkrZdmB7CQopCH8NAmqbuciZChHN8lVGaDbCnmddnqO1PQ4ieMYfcSiBE5zzMz%2BJV%2F4eyzrzTEShvqSGzgWimkNxLvUj86iAwcZuIkqdB0VaIB7wncLRmzHkiUQpPBIXbDDLHBlq7vp9xwuC9AiNkIptAYlG7Biyuk8ILdynuUM1cHWJgeB%2BK3wBP%2FineogxkvBNNQ4AkW0hvpBOQGFfeptF2YTR75MexYDUy7Q%2F9uocGsx41O4IZhViw%2F2FvAEuGO5g2kyXBUijAggWM08bRhXg5ijgMwDJy40QeY%2FcQpUDZiIzmvskQpO5G1zyGZA8WByjIQU4jRoFJt56behxtHUUE%2Fom7Rj2psYXGmq3llVOCgGYKNMo4pzwntITtapDqjvQtqpjaJwjHmDzSVGLxMt12gEXAdLi%2FcaHSM3FPRGRf7dB7YC%2BcD2ho6oL2zGDCkjlf%2FDFoQVl8GS%2F56wur3rdV6ggtzZW60MRB3g%2BU1W8o8cvqIpMkctiGVMzXUFI7FacFLrgtdz4mTEr4aRAaQ2AFQaNeG7GX0yOJgMRYFziXdJf24kg%2FgBQIZMG%2FYcPEllRTVNoDYR6oSJ8wQNLuihfw81UpiKPm714bZX1KYjcXJdfclCUOOpvTxr9AAJevTY4HK%2FG7F3mUc3GOAKqh60zM0v34v%2BELyhJZqhkaMA8UMMOU90f8RKEJFj7EqepBVwsRiLbwMo1J2zrE2UYJnsgIAscDmjPjnzI8a719Wxp757wqmSJBjXowhc46QN4RwKIxqEE6E5218OeK7RfcpGjWG1jD7qND%2B%2FGTk6M56Ig4yMsU6LUW1EWE%2BfIYycVV1thldSlbP6ltdC01y3KUfkobkt2q01YYMmxpKRvh1Z48uNKzP%2FIoRIZ%2FF6buOymSnW8gICitpJjKWBscSb9JJKaWkvEkqinAJ2kowKoqkqZftRqfRQlLtKoqvTRDi2vg%2FRrPD%2Fd3a09J8JhGZlEkOM6znTsoMCsuvTmywxTCDhw5dd0GJOHCMPbsj3QLkTE3MInsZsimDQ3HkvthT7U9VA4s6G07sID0FW4SHJmRGwCl%2BMu4xf0ezqeXD2PtPDnwMPo86sbwDV%2B9PWcgFcARUVYm3hrFQrHcgMElFGbSM2A1zUYA3baWfheJp2AINmTJLuoyYD%2FOwA4a6V0ChBN97E8YtDBerUECv0u0TlxR5yhJCXvJxgyM73Bb6pyq0jTFJDZ4p1Am1SA6sh8nADd1hAcGBMfq4d%2FUfwnmBqe0Jun1n1LzrgKuZMAnxA3NtCN7Klf4BH%2B14B7ibBmgt0TGUafVzI4uKlpF7v8NmgNjg90D6QE3tbx8AjSAC%2BOA1YJvclyPKgT27QpIEgVYpbPYGBsnyCNrGz9XUsCHkW1QAHgL2STZk12QGqmvAB0NFteERkvBIH7INDsNW9KKaAYyDMdBEMzJiWaJHZALqDxQDWRntumSDPcplyFiI1oDpT8wbwe01AHhW6%2BvAUUBoGhY3CT2tgwehdPqU%2F4Q7ZLYvhRl%2FogOvR9O2%2BwkkPKW5vCTjD2fHRYXONCoIl4Jh1bZY0ZE1O94mMGn%2FdFSWBWzQ%2FVYk%2BGezi46RgiDv3EshoTmMSlioUK6MQEN8qeyK6FRninyX8ZPeUWjjbMJChn0n%2FyJvrq5bh5UcCAcBYSafTFg7p0jDgrXo2QWLb3WpSOET%2FHh4oSadBTvyDo10IufLzxiMLAnbZ1vcUmj3w7BQuIXjEZXifwukVxrGa9j%2BDXfpi12m1RbzYLg9J2wFergEwOxFyD0%2FJstNK06ZN2XdZSGWxcJODpQHOq4iKqjqkJUmPu1VczL5xTGUfCgLEYyNBCCbMBFT%2FcUP6pE%2FmujnHsSDeWxMbhrNilS5MyYR0nJyzanWXBeVcEQrRIhQeJA6Xt4f2eQESNeLwmC10WJVHqwx8SSyrtAAjpGjidcj1E2FYN0LObUcFQhafUKTiGmHWRHGsFCB%2BHEXgrzJEB5bp0QiF8ZHh11nFX8AboTD0PS4O1LqF8XBks2MpjsQnwKHF6HgaKCVLJtcr0XjqFMRGfKv8tmmykhLRzu%2BvqQ02%2BKpJBjaLt9ye1Ab%2BBbEBhy4EVdIJDrL2naV0o4wU8YZ2Lq04FG1mWCKC%2BUwkXOoAjneU%2FxHplMQo2cXUlrVNqJYczgYlaOEczVCs%2FOCgkyvLmTmdaBJc1iBLuKwmr6qtRnhowngsDxhzKFAi02tf8bmET8BO27ovJKF1plJwm3b0JpMh38%2BxsrXXg7U74QUM8ZCIMOpXujHntKdaRtsgyEZl5MClMVMMMZkZLNxH9%2Bb8fH6%2Bb8Lev30A9TuEVj9CqAdmwAAHBPbfOBFEATAPZ2CS0OH1Pj%2F0Q7PFUcC8hDrxESWdfgFRm%2B7vvWbkEppHB4T%2F1ApWnlTIqQwjcPl0VgS1yHSmD0OdsCVST8CQVwuiew1Y%2Bg3QGFjNMzwRB2DSsAk26cmA8lp2wIU4p93AUBiUHFGOxOajAqD7Gm6NezNDjYzwLOaSXRBYcWipTSONHjUDXCY4mMI8XoVCR%2FRrs%2FJLKXgEx%2BqkmeDlFOD1%2FyTQNDClRuiUyKYCllfMiQiyFkmuTz2vLsBNyRW%2Bxz%2B5FElFxWB28VjYIGZ0Yd%2B5wIjkcoMaggxswbT0pCmckRAErbRlIlcOGdBo4djTNO8FAgQ%2BlT6vPS60BwTRSUAM3ddkEAZiwtEyArrkiDRnS7LJ%2B2hwbzd2YDQagSgACpsovmjil5wfPuXq3GuH0CyE7FK3M4FgRaFoIkaodORrPx1%2BJpI9psyNYIFuJogZa0%2F1AhOWdlHQxdAgbwacsHqPZo8u%2FngAH2GmaTdhYnBfSDbBfh8CHq6Bx5bttP2%2BRdM%2BMAaYaZ0Y%2FADkbNCZuAyAVQa2OcXOeICmDn9Q%2FeFkDeFQg5MgHEDXq%2FtVjj%2Bjtd26nhaaolWxs1ixSUgOBwrDhRIGOLyOVk2%2FBc0UxvseQCO2pQ2i%2BKrfhu%2FWeBovNb5dJxQtJRUDv2mCwYVpNl2efQM9xQHnK0JwLYt%2FU0Wf%2BphiA4uw8G91slC832pmOTCAoZXohg1fewCZqLBhkOUBofBWpMPsqg7XEXgPfAlDo2U5WXjtFdS87PIqClCK5nW6adCeXPkUiTGx0emOIDQqw1yFYGHEVx20xKjJVYe0O8iLmnQr3FA9nSIQilUKtJ4ZAdcTm7%2BExseJauyqo30hs%2B1qSW211A1SFAOUgDlCGq7eTIcMAeyZkV1SQJ4j%2Fe1Smbq4HcjqgFbLAGLyKxlMDMgZavK5NAYH19Olz3la%2FQCTiVelFnU6O%2FGCvykqS%2FwZJDhKN9gBtSOp%2F1SP5VRgJcoVj%2Bkmf2wBgv4gjrgARBWiURYx8xENV3bEVUAAWWD3dYDKAIWk5opaCFCMR5ZjJExiCAw7gYiSZ2rkyTce4eNMY3lfGn%2B8p6%2BvBckGlKEXnA6Eota69OxDO9oOsJoy28BXOR0UoXNRaJD5ceKdlWMJlOFzDdZNpc05tkMGQtqeNF2lttZqNco1VtwXgRstLSQ6tSPChgqtGV5h2DcDReIQadaNRR6AsAYKL5gSFsCJMgfsaZ7DpKh8mg8Wz8V7H%2BgDnLuMxaWEIUPevIbClgap4dqmVWSrPgVYCzAoZHIa5z2Ocx1D%2FGvDOEqMOKLrMefWIbSWHZ6jbgA8qVBhYNHpx0P%2BjAgN5TB3haSifDcApp6yymEi6Ij%2FGsEpDYUgcHATJUYDUAmC1SCkJ4cuZXSAP2DEpQsGUjQmKJfJOvlC2x%2FpChkOyLW7KEoMYc5FDC4v2FGqSoRWiLsbPCiyg1U5yiHZVm1XLkHMMZL11%2Fyxyw0UnGig3MFdZklN5FI%2FqiT65T%2BjOXOdO7XbgWurOAZR6Cv9uu1cm5LjkXX4xi6mWn5r5NjBS0gTliHhMZI2WNqSiSphEtiCAwnafS11JhseDGHYQ5%2BbqWiAYiAv6Jsf79%2FVUs4cIl%2Bn6%2BWOjcgB%2F2l5TreoAV2717JzZbQIR0W1cl%2FdEqCy5kJ3ZSIHuU0vBoHooEpiHeQWVkkkOqRX27eD1FWw4BfO9CJDdKoSogQi3hAAwsPRFrN5RbX7bqLdBJ9JYMohWrgJKHSjVl1sy2xAG0E3sNyO0oCbSGOxCNBRRXTXenYKuwAoDLfnDcQaCwehUOIDiHAu5m5hMpKeKM4sIo3vxACakIxKoH2YWF2QM84e6F5C5hJU4g8uxuFOlAYnqtwxmHyNEawLW%2FPhoawJDrGAP0JYWHgAVUByo%2FbGdiv2T2EMg8gsS14%2FrAdzlOYazFE7w4OzxeKiWdm3nSOnQRRKXSlVo8HEAbBfyJMKqoq%2BSCcTSx5NDtbFwNlh8VhjGGDu7JG5%2FTAGAvniQSSUog0pNzTim8Owc6QTuSKSTXlQqwV3eiEnklS3LeSXYPXGK2VgeZBqNcHG6tZHvA3vTINhV0ELuQdp3t1y9%2BogD8Kk%2FW7QoRN1UWPqM4%2BxdygkFDPLoTaumKReKiLWoPHOfY54m3qPx4c%2B4pgY3MRKKbljG8w4wvz8pxk3AqKsy4GMAkAtmRjRMsCxbb4Q2Ds0Ia9ci8cMT6DmsJG00XaHCIS%2Bo3F8YVVeikw13w%2BOEDaCYYhC0ZE54kA4jpjruBr5STWeqQG6M74HHL6TZ3lXrd99ZX%2B%2B7LhNatQaZosuxEf5yRA15S9gPeHskBIq3Gcw81AGb9%2FO53DYi%2F5CsQ51EmEh8Rkg4vOciClpy4d04eYsfr6fyQkBmtD%2BP8sNh6e%2BXYHJXT%2FlkXxT4KXU5F2sGxYyzfniMMQkb9OjDN2C8tRRgTyL7GwozH14PrEUZc6oz05Emne3Ts5EG7WolDmU8OB1LDG3VrpQxp%2BpT0KYV5dGtknU64JhabdqcVQbGZiAxQAnvN1u70y1AnmvOSPgLI6uB4AuDGhmAu3ATkJSw7OtS%2F2ToPjqkaq62%2F7WFG8advGlRRqxB9diP07JrXowKR9tpRa%2BjGJ91zxNTT1h8I2PcSfoUPtd7NejVoH03EUcqSBuFZPkMZhegHyo2ZAITovmm3zAIdGFWxoNNORiMRShgwdYwFzkPw5PA4a5MIIQpmq%2Bnsp3YMuXt%2FGkXxLx%2FP6%2BZJS0lFyz4MunC3eWSGE8xlCQrKvhKUPXr0hjpAN9ZK4PfEDrPMfMbGNWcHDzjA7ngMxTPnT7GMHar%2BgMQQ3NwHCv4zH4BIMYvzsdiERi6gebRmerTsVwZJTRsL8dkZgxgRxmpbgRcud%2BYlCIRpPwHShlUSwuipZnx9QCsEWziVazdDeKSYU5CF7UVPAhLer3CgJOQXl%2Fzh575R5rsrmRnKAzq4POFdgbYBuEviM4%2BLVC15ssLNFghbTtHWerS1hDt5s4qkLUha%2FqpZXhWh1C6lTQAqCNQnaDjS7UGFBC6wTu8yFnKJnExCnAs3Ok9yj5KpfZESQ4lTy5pTGTnkAUpxI%2ByjEldJfSo4y0QhG4i4IwkRFGcjWY8%2BEzgYYJUK7BXQksLxAww%2FYYWBMhJILB9e8ePEJ4OP7z%2B4%2FwOQDl64iOYDp26DaONPxpKtBxq%2FaTzRGarm3VkPYTLJKx6Z%2FMw2YbBGseJhPMwhhNswrIkyvV2BYzrvZbxLpKwcWJhYmFtVZ%2BlPEq91FzVp1HlQY1bZVLqeNR9SAUn6n0E28k%2FUuGkNpP1DBI5ch%2FEehZfjUQ9aE41NhETExoPT2gGQz0IhWJbEOvTQ4wgcXCHHFBhewYUiFHuhRSAUVmEHeCRQHQkXGFwkAgyzREJCVN7TRnTon36Zw3tPhx4EALwNdwDv%2BJ41YSP4B2CQqz0EFgARZ4ESgBHQgROwAVn9GTI%2BHYexTUevLUeta4%2FDqKrbMVS%2BYqb8hUwYCrlgKtmAq1YCrFgKrd4qpXiqZcKn1oqdWipjYKpWwVPVYqW6xUpVipKqFR3QKjagVEtAqHpxUMTitsnFaJOKx2cVhswq35RVpyiq9lFVNIKnOQVMkgqtYxVNxiqQjFS7GKlSIVIsQqPIhUWwioigFQ%2B%2BKkN8VHr49HDw9Ebo9EDo9DTo9Crg9BDg9%2FWx7gWx7YWwlobYrOGxWPNisAaAHEyALpkAVDIAeWAArsABVXACYuAD5cAF6wAKFQAQqgAbVAAsoAAlQAUaYAfkwAvogBWQACOgAD9AAHSAAKT4GUdMiOvFngBTwCn2AZ7Dv6B6k%2F90B8%2ByRnkV144AIBoAMTQATGgAjNAA4YABgwABZgB%2FmQCwyAVlwCguASlwCEuAQFwB4uAMlwBYuAJlQAUVAAhUD2KgdpUDaJgaRMDFJgX5MC1JgWJEAokQCWRAHxEAWkQBMRADpEAMkQAYROAEecC484DRpwBDTnwNOdw05tjTmiNOYwtswhYFwLA7BYG4LA2BYGOLAwRYFuLAsxYFQJAohIEyJAMwkAwiQC0JAJgkAeiQBkJAFokAPCQA0JABwcD4Dgc4cDdDgaYcDIDgYgUC6CgWgUClCgUYUAVBQBOFAEYMALgwAgDA9QYAdIn8AZzeBB2L5EcWrenUT1KXienEsuJJ7x5U8XlTjc1NVzUyXFTGb1LlpUtWlTDIjqwE4LsagowoCi2gJLKAkpoBgJQNpAIhNqaEoneI6kiiqQ6Go%2Fn6j0cS%2Ba2gEU8gIHJ%2BBwfgZX4GL%2BBd%2FgW34FZ%2BBS%2FgUH4FN6BTegTvoEv6BJegRnYEF2A79gOvYDl2BdEjCkqkGtwXp0LNToIskOTXzh%2FF062yJ7AAAAEDAWAAABWhJ%2BKPEIJgBFxMVP7w2QJBGHASQnOBKXKFIdUK4igKA9IEaYJg%29%20format%28%27embedded%2Dopentype%27%29%2Curl%28data%3Aapplication%2Ffont%2Dwoff%3Bbase64%2Cd09GRgABAAAAAFuAAA8AAAAAsVwAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAABGRlRNAAABWAAAABwAAAAcbSqX3EdERUYAAAF0AAAAHwAAACABRAAET1MvMgAAAZQAAABFAAAAYGe5a4ljbWFwAAAB3AAAAsAAAAZy2q3jgWN2dCAAAAScAAAABAAAAAQAKAL4Z2FzcAAABKAAAAAIAAAACP%2F%2FAANnbHlmAAAEqAAATRcAAJSkfV3Cb2hlYWQAAFHAAAAANAAAADYFTS%2FYaGhlYQAAUfQAAAAcAAAAJApEBBFobXR4AABSEAAAAU8AAAN00scgYGxvY2EAAFNgAAACJwAAAjBv%2B5XObWF4cAAAVYgAAAAgAAAAIAFqANhuYW1lAABVqAAAAZ4AAAOisyygm3Bvc3QAAFdIAAAELQAACtG6o%2BU1d2ViZgAAW3gAAAAGAAAABsMYVFAAAAABAAAAAMw9os8AAAAA0HaBdQAAAADQdnOXeNpjYGRgYOADYgkGEGBiYGRgZBQDkixgHgMABUgASgB42mNgZulmnMDAysDCzMN0gYGBIQpCMy5hMGLaAeQDpRCACYkd6h3ux%2BDAoPD%2FP%2FOB%2FwJAdSIM1UBhRiQlCgyMADGWCwwAAAB42u2UP2hTQRzHf5ekaVPExv6JjW3fvTQ0sa3QLA5xylBLgyBx0gzSWEUaXbIoBBQyCQGHLqXUqYNdtIIgIg5FHJxEtwqtpbnfaV1E1KFaSvX5vVwGEbW6OPngk8%2FvvXfv7pt3v4SImojIDw6BViKxRgIVBaZwVdSv%2BxvXA%2BIuzqcog2cOkkvDNE8Lbqs74k64i%2B5Sf3u8Z2AnIRLbyVCyTflVSEXVoEqrrMqrgiqqsqqqWQ5xlAc5zWOc5TwXucxVnuE5HdQhHdFRHdNJndZZndeFLc%2FzsKJLQ%2FWV6BcrCdWkwspVKZVROaw0qUqqoqZZcJhdTnGGxznHBS5xhad5VhNWCuturBTXKZ3RObuS98pb9c57k6ql9rp2v1as5deb1r6s9q1GV2IrHSt73T631424YXzjgPwqt%2BRn%2BVG%2BlRvyirwsS%2FKCPCfPytPypDwhj8mjctRZd9acF86y89x55jxxHjkPnXstXfbt%2FpNjj%2FnwXW%2BcHa6%2FSYvZ7yEwbDYazDcIgoUGzY3h2HtqgUcs1AFPWKgTXrRQF7xkoQhRf7uF9hPFeyzUTTSwY6EoUUJY6AC8bSGMS4Ys1Au3WaiPSGGsMtkdGH2rzJgYHAaYjxIwQqtB1CnYkEZ9BM6ALOpROAfyqI%2FDBQudgidBETXuqRIooz4DV0AV9UV4GsyivkTEyMMmw1UYGdhkuAYjA5sMGMvIwCbDDRgZeAz1TXgcmDy3YeRhk%2BcOjCxsMjyAkYFNhscwMrDJ8BQ2886gXoaRhedQvyTSkDZ7uA6HLLQBI5vGntAbGHugTc53cMxC7%2BE4SKL%2BACOzNpk3YWTWJid%2BiRo5NXIKM3fBItAPW55FdJLY3FeHBDr90606JCIU9Jk%2BMs3%2FY%2F8L8jUq3y79bJ%2F0%2F%2BROoP4v9v%2F4%2Fmj%2Bi7HBXUd0%2FelU6IHfHt8Aj9EPGAAoAvgAAAAB%2F%2F8AAnjaxb0JfBvVtTA%2BdxaN1hltI1m2ZVuSJVneLVlSHCdy9oTEWchqtrBEJRAgCYEsQNhC2EsbWmpI2dqkQBoSYgKlpaQthVL0yusrpW77aEubfq%2Fly%2BujvJampSTW5Dvnzmi1E%2Bjr%2F%2F3%2BXmbu3Llz77nnbuece865DMu0MAy5jGtiOEZkOp8lTNeUwyLP%2FDH%2BrEH41ZTDHAtB5lkOowWMPiwayNiUwwTjE46AI5xwhFrINPXYn%2F7ENY0dbWHfZAiTZbL8ID%2FInAd5xz2NpIH4STpDGonHIJNE3OP1KG4ISaSNeBuITAyRLgIxoiEUhFAnmUpEiXSRSGqAQEw0kuyFUIb0k2gnGSApyBFi0il2SI5YLGb5MdFjXCey4mNHzQ7WwLGEdZiPPgYR64we8THZHAt%2BwnT84D%2Fx8YTpGPgheKH4CMEDVF9xBOIeP3EbQgGH29BGgpGkIxCMTCW9qUTA0Zsir%2BQUP1mt%2BP2KusevwIO6Bx%2FIaj8%2FOD5O0VNrZW2EsqZBWbO1skRiEKE0DdlKKaSVO5VAuRpqk8VQJAqY7ydxaK44YJvrO2EWjOoDBoFYzQbDNkON%2BUbiKoRkywMWWf1j4bEY2iIY1AeMgvmEz%2FkVo9v4FSc%2FaMZMrFbjl4zWLL0%2BY5FlyzNlEVYDudJohg8gPUP7kcB%2Fmn%2BG6cd%2B5PV4Q72dXCgocWJADBgUuDTwiXiGSyZo14HOEQ2lE6k0XDIEusexDzZOMXwt1Dutz%2BtqmxTvlskNWXXUQIbhaurum9GrePqm9Yaeabjkiqf%2BbUvzDOvb2Y1E%2BEX2DnemcTP%2FzLcuu7xjQXdAtjR0Lo5n4%2FHs%2FGtntMlysHt%2B29NXbH6se%2F%2FWbFcyu%2Br28H0MwzI30DYeYTLMXIA2EG8QlHpAsyS0EfEToR0a3utIxFPJ3kiIHCCrZ66b0e2xEmL1dM9YN%2FMwS5p01N5jMX%2FBLKt%2F1R83l0LyC29M6%2BiYxo%2FUNg%2FEF7c2WyyW5tYl8WnhWg2%2FhyySbD5UhnDyS7OcU0dnrFw%2BDfGdI7v4QfYIIzOMq9hFtY55gmvC7jZ2FK7sEdrn6IXBuucYhjsGdQ8z0yEbWkkczjjsE5hNAIZrPx2zOLZDmKNXcXtg7EMqidAEEWg%2BSJCBBNwxvxJfc%2FbZa%2BKKf%2BxoKZybnq5vaqpPTye7CiF%2BZFjxZ8%2F7Qij0hfOG%2FcowPA1rT1l4ymWnrKmxxqfErTVrpgwPlz1kC%2BOy8NMDz6c%2BIO38K%2Fx0xkPnLW8Kx6qGAoQdL%2BTD9V9rb%2B%2Fctn%2F%2Ftrxz8dUrZrD%2Fzk%2FferF0cNt1BzctmX2FZPXt%2FjnFCQNz4Ah%2FiKllGiCMs1w5Lkg0kiEwj6VTXCDKsX9rMpnvIj9pcDecXAIXMnqn2dTUbN6w0XQ9ue6FV%2FnnXCH7S3lPWGltVcLsH75ub3ab7A8M28caNrIeOr3o5Q0yFsYL80xaa0EY%2FUEczV7icUMY5pnelAkmUAXmHYjvFWFGxuqlSaow3OM%2B%2FiYY7%2Fl%2FhVELF4EjRqNR%2FbvRbOY%2BDUGzGR%2FOh3EqmE%2FugIQQguGt%2FeMYz%2F%2BL0cimjeZfQDI3phXMbMQsqH%2BCjwVz%2Fhf4idHovgVmB8gLvjbicDcC%2FNypP536E%2F9N%2FpuMibExdohBmNwyiaZdJGoigos7GpF222xrfnZhML%2F7Z%2BylaqP63Hr%2Bm7bdUkQ6%2F2cXqdfmvwixY%2Bs2ksXFeXcE%2BiX0Z%2BIow76DBNgjJ7TOdUK18iPsPflfQD%2BDPsZG2Aj9VmKMMJ4fYRrhIaxhTDR0Elh2vA6h%2FAE6xUb29mj3sjmL72petXjejPy%2Boel60M99tFduCI59N3221xe7apOvxs6aHs7vab1IqY2tv7q2xsHeHGml%2FcV06u%2F8S%2FxTjJ%2BJYc0bWEX0ukW6YmIbGkJRMdjJ9mYIH5QIdJF4hvRGyK7cC7ctImQRcUET99fGXOoft35GYLMQu%2Bg2smnkgZUrH8AL%2F9Si217IssJ916nv14ZrJrvdxLkQvrvtBcjgPC0NXOicO8Qf4mcxPqh3hgUw3DDfdvLJXngg7N3dN2zbPJSaed3OfZnMU7dvmznp3C3bruO%2BNmue0LFsy7S%2B6265%2BfCKFYdvvuW6vmlblnUI8xCXp37CrOZv4B9gauDBlYp7adcUXB5DNCwYImlXOJJKkAdvExXxVvKEYnCo%2B3eIskP9qrrfIYs71CccBjfXRC52udTHHdaP1A1ui%2FVvH1otbrLrpNXBsGX5B89QghDyimlvNB2KfkxZ5C9%2Fem3%2Bd1%2Bd%2F%2FIfFp2%2B2Oxn%2Fs%2B9n%2F79p39S3s8idN6g0yZObwJOgKUpNB3GyU0Ls0PbRzIRq4lcarLKOJBkLRzJQD4j2090XrbA7DW8K3jNF5hlGS5e4V2D17zgss4T20egOJte5iD0bReM9yjTxnQxCRj3c5kFzGJmGbNKmwGw39IJDJcXJZGMkaAB4jyJAKw0jt5IAuIE%2BA%2BU3cVAZZrq9zhDyBrU8oosuxcGNTzCKJfla7JjNVmuSb%2F%2BtuzN2H%2BX4vlB%2BPpdfMXXmuVsNiub1T34SFbjYw5itEvVi0K0Nt9pNJUMI7SLGRhf2xipfCYf8z5OdlGKayOucFeVPeS%2Fdbo3lBrbSMmwUiQN5%2Fed7g0Ds1s17IuZC5kNzM3MZ6EWCa0DtekdJfAxz%2BR%2FOX28sND7yRMTBcf%2B%2Bs8mQCQWHya4qBv%2FufeMoWyslPA9DtMxUknxkH%2FyfTnm2CMYzs%2BCq3r7PxY%2FMXomrvTEsRpfEGHa%2BWN8E1AHjElb7d06ddA7oK%2F%2B5Mdsv9EtPms0jv0Z5kf1FqPxWdFtfFr0kHfgDX0Y%2B5PRSG7RUj0tQr7rmfX8DH4G5W28kKeJLtmQsQkuwMP1pk16EV4sl7vrMJATfyUWo%2FGwEco4rh4XFQgaiUX9qxZHrMQqKnz%2Fc2d8b9TysYrAuXpP%2FRf%2FGr8b1qwwc5a%2BeuLa6S6sneNXToG2XrEJi4R5SGs8Sq2S3d97bsfCRaTdaLwKClRHt37mkudvXbjwVrLhuYeGhh56bvfQkHpk2CwvwClqgWwuBfndC3c8dwmstj81KkagcUgbfPY8Zje0W%2F82VPWJHmSq6pP8hPWpotc%2FEexDOK3qU%2BwngPhOCiO9MJRm8TJefjelrzoKnG2Bn%2B1NCUmPE4gHFmBN9jrTigRIpsACrc9Gstg58ULkp9467%2BGf%2FeFnD5%2F31lNrt2967dhrm7bzI%2BVT5m%2BfzKhvf2MzpICEm79Bopkn07lt1762adNr127LwVqQLdJ5%2BlpQDcvHPQtVY5knhYrK6q8%2FJsiP6EuhGZdFdaNszjvpqvc%2BPI0CdjN0AXsFOC3ZfALDJwr4q2Xq%2BGF%2BGNbsxUg5NLLIEXi8otcDQcUts0D8eQ1iVDRAMBTsYiNdRIxE09EIBJO9A2xqgERTaW86BUFn0OD2xFO97FAgFhF6OoQ7prYt4XwSeUgQHiJyDbeke9IdQntciLQ1FlJMaYcUNvZBg%2BFB1ubjlnRNvl3o6IEU2w7fdNPhm%2Fhh%2BFLysUu6%2B%2BDLHkOkrSHYEjH0tEPe7WdD3uyDgvAgK%2Fm4szFFR7ch0toUgBTdWHr7EpaWru6%2B6dmbbnqWEbV2EtxAsXiZAPTtGPSbHsotI2leoM8TePEqgSQprs7AGFf8kuOkPdZPXGb55POAW1d%2FjLST9v5YflasP6v%2FCO7%2BGNAPC2BMZWmsOjp2NNbfHwMCJD%2BLPVL%2BD%2FOYlWEEI%2F9jpPddOFkB5d1GSuKZYggmCCd7JUxD7EXAzxyirYnNDLdDZoFdx14kivkvGc3579Jm36reTTvDgBnaO6vzyQ6chQmlsMoIkIQ2%2BbBDWBud1Va4pcCn8CPqxlh%2FfgtG8IPaPH8C5wk6%2FnZDv69jurV5QhtwE0x2iqOsj9Mx8B9%2F0EaUdiPfOYYDCi%2Fq9jhWRuupMDEU0%2BCtX0sDFxv07T%2FK5niBPqN9%2BtQjgEc31NGCXFeMcCEuQBIc%2FBK4CO78u7EPYvl3yaEfK3vcb6qP1R2tI7vUjVDDUdKubsSrNjYKY1qBEa2P50SJoaXiksIoLiCwnxS6EBuBde87botNfdEWwYvF%2FR0%2Fu5yCqhGeEOR2ynSeyXjt6ka7neyye8kryBSWE52y%2BRBgogrXPZ8E1yIHoHIFUM%2BAbJhE7lbMtt8ApL%2BxmZW7PwbjAO0fAVoXQOuiSP%2FksIVdFZ0aulsamKUzwPZ%2FNYDMJRBPCxsBqLzqHyneXF6Ej9HlIFo7%2Bpg%2BjUb3unRmGpstGkm6etOuDBGA5wCMefp1gTHcdZlvPBXlOslvYTp1cd8UjYLVd%2FJ5awNrIOKLnIt9MD9qdrKrWCvA6ALm3QV9VrsPm60Q7%2BRHJHP%2B2hqfugo%2FMvI2H%2Fmqr4b9tFnKSRY1Y5Ek80Nm%2FWIhr1ikKnxGz9TWXrokf9xwujfvcOTtNTWnxd0F37Y2W79tteBqZ4G5qLCuomw%2BnSr28QESCRVLTyYKILGJOPfcnaIFOsewhRdvv%2BrWa%2FWih0vlbX6Zb75T5C0qNKVFvH1QL%2FvazSWgC2s6oWXXIuUxQelKiJbowuJDQViatLmLijg9CQBMg8WiPgiw3LEeYRmm5f%2BXdnvkDnxLLjMLxtvX74C3OlwPQqx4xwIdpPx38LrlDphiyWUWHWKAzzxurS%2FxTo%2BP5wGFak62ap1PVFFN4v%2Fy%2BxuR39WnIO7lsWfwgVsK17wxrs9K8ltIKuhkw7f%2F6dhK6gQokFKhWX3urrjk%2FrnI0pgfpGMeuQIUaEM7%2BGF5q2iMkCaMQwxxOzcvU0eXbsnS9XknXvP7Gtw5dwPXlFu2ecvSHEZgNDsU6x%2FGdXBYXyOQjzZReSedeEPY6nEv9gJR4oBQJtFO6Kd0fwC6BO4LNHDeBujB6dSNcUQC9zIv2LnAzGk99bUDrdFY%2B9yGFQtEo0GQPNv6vS2drj4%2B1jHbv3aJSMUWP%2BQTZrmbNTjU8wyG%2FiXNNpskybLcJ3CiTF5Ir%2BJYzmJwE0mSVhlxbtbmvweB3ulB6Til5UuUZydpgiFVeobhU0WaBqpJ198d%2B%2FXeNRTZ9%2F1OPfG7%2B2hwzd5W3D%2BhmyjsRcUg%2F%2BCavb%2B%2BVh2ls3L7zT%2FetOnHNxeerv313vzLVqPai4nJv%2BK1FC6040%2F4udw7sAb3laSg0XCkAAs0npBO6VJabS4Elk%2FU%2BD4gTXW%2Bj0wnrMlqNamq4tMIYB87tE10i0FR3LZNhJsb7%2FR561btmes8YBCRkhYNByRtKd55mqTas9FYhJnbRGHuOh3M4QTdgQSqmgRxuzGdSvZGcbMxNQGk5C3ebLjoXIOFM4l%2BWKHmLTJwRv9E8GWJ6dYvf%2FFmEyEGr%2Bgyrr1p5zrgkz0Cw2j94Hv8Jdx7dIVegBSNtgsqGsRQEYiIBoXwD0LNvQ5d7s5Z00QzwNhqZA0b%2BtMG1tQq5nd84uq8R0zPvX35G8uRaze4jcOHzz0w1%2BQ2BIRvf6J6Kgatnrbiem%2BCFvAxfkrndzD9MFPP1GWTUHclpASUkCNAQkpCCcCgDSUDAhDZ%2BCuEkgn8J7i9nMA7pA4lISappxILKfAeSAbIcSDuN2bJcfZILqeO5rLs0MnngSHYRdrHjmaz7JEsEPw51ZqDJDmUIOZIe34WaQeegNsJn1qz8AIpT3yCjyEih%2FxELkuJ0lEMYTLVCiWpo5oYMleMH6USyYJcD%2BuOe%2BkWKpn1Qns34iyYDjkSLvgnZXcgVQNeqINXr48m3iS7cjm8tedyY0f1QvTnHHdsrKby%2F%2BSSbPY8%2FNH6vpl%2FEsq3Ae4ZU1HC44KFiI9o7CEgab%2FRqHbj7s5KAg06s39ZP%2FzxI%2FmVuF%2FTbTSy%2B3Fb8If9%2Fcv7%2Bwt91yy8RfP1QXtW5RzQn7qIiZyuFM5QfJ5E9uVnqT85TanFx0lkP3ukBAMprvsRyi%2FC8NAJL1xbIIirSvnSj4O5netb4JxmNANHPssHAcHMHsFRgEug816gDBeMbdfiuRcghqYcm0%2BXxx%2F5IAEtN3fqFF3LzAXqwoT0PN0OVTNqxo8sxMkd5Ig6k79Zk7VxxX6gMLOZFQgvpW2RrMW1D0BDihaXQ9wVRoBxPLfpknmkeMtoB%2FqM9cRc9IqmMD2XUmdZ7GSRKPUZvChf8BoykriM2MnKYbOHX8R7cLdNCxSFFVQqoYswnlWtlFS2mNkhswVpZiQW1J%2FUKFfipHGlUkM6UKBhMz1istELIHJLMSctu3ugzfaVSOjKvUgc%2FTHK4Sdg2Wscz69leKIkkrwuuWiOe9yGYKQXRumkC3qbRcMwrvhjNXgdZk3RxAUEhuSPvn3nnd%2B%2BU%2F3vlVOmrJzCD8JLxV1OHRjrZifbcFDOuRNTGqdgQm1tSNJ2OcQ04YiEXuxtII1ECSQRoQGYioEsgCfchB4ghAtw7FfJre4WZ9hkVi9MtjuWqtdNDlpMrfEG9fOT6q21okg%2Be4As38MfGquNt7oUws6Ysarj1%2FefE%2Byst86YUVNvDdts3Pv5c8m%2FaP0C%2Bf8%2FQb%2BIMnGq09BgwN01oIOAnAdagI8mBSrqk1gxTDUBOtk2ousEtBH2z4Ir2d3f6k8PXXVlt2qN9RODxRuoJT%2Fv27wm09jRYVc%2Fe%2B%2Biyx2tyzJb%2Fn3J0htXP87eSsQaf2Ly0s6Zmxela88REy1cf4273mI3iXNJ7KxrZibOm9xm6rl4fqy%2Ft27smU8tOfdW2ucBzg2UfmOIVyLIl3kpYlwphDISTXJXsctmiDtN7fNV6zelgxwnWxsVr83Aj%2FS5ki1jL%2Fa0GC6%2B2L6Um%2BaoddlNFuj%2BbJ8mH%2FiaLh8I0%2FU51NspIEfq0dohwyFXKgm4NggwQ4rRhCOUFtxxo8XnitT4cnGfT93IS8FaT85XE3H5LMY4zIEPL1hw443wz%2B1UmhTJyJGxZzw%2BwsKkKZgUiVtKOKMEb2AKHTv61FNc01PQFwKnvsZ%2F9pPA4RKTASWahmh%2B8MxwzHxKy74IRn5LGRjsPUUwTu64UYNY38caqd7HKucZ%2FtHnODtENw%2F2UfHRMaq1UUPDJQ0OKkWCeet5fYOhII1VRz8%2B%2FElg5j4Gxur3J8o2PJ4rg%2B2d08T%2FfwEzSVbyZ9XPro95T477lRKqUSRXQnauHNsISAl27oWi6Fv9z48JMv8r%2FaMMj8onCP%2FDuDZOuN%2BGPPr%2F%2Bp7bx%2B7JlbYdppcNhzKU%2F1Px5aiaGDn%2Fs1iGMaBcleKUo%2Fv9rcxkZj7DBEKOfrayytXNLYiUdBY%2BpleQXdnscKlQcpzuWluxsieeyuXIK6SdxozitWyGOV3vOHHjguyCQ6fpIYy2JwvrQEF%2FQa9Pdf%2FQqOSqCiE%2FEE1%2FXIVKTc2tzWbHnimrEd%2BVyz311Ml3P0GVTj7PD5aDnsvCvH36alEaPMePcMegXs7x8igTu4B9v7G9vTHvhCu%2FkzIdx%2BBxC0ay9zRSvoS0F2lIxI%2BX7klU63I40gLQ3w5ep5na%2BSFnba3z5D64zv%2BQtM4n4ffG3tq4aNHGRfxgrXPMim%2B5487abL7xhdseIRn1KDl%2B7aINixdv0OD%2BJSPwKf5%2BxoP6aiTeQIDVlIhMcL1H5R9PYXvprs3fv2bO7MOplCmweuiq2JRZ1zz%2B9a%2Fv2PH1Hfz9236w%2BZrPXvWfAxlj4NLLHpq3c%2FPQ3uvmvbrjG7fe%2Bo2y%2FcLdtE6VUlXi0ASb1VLUBVSUWSU4HdvAraTyS8xzM8NxvxFkXV6pUVRiJwcgC5zEeht4rwcp7ki0k41G0qlQhG1Vzlq8alEmnFi58caB5Q9vn988MLhqyVlHvLEWjtQFeupdiocF%2FtkkOGPW2ibWaBTkeZ%2FdvPWazXfOnnvL6jkRXpi85sFzZt%2B55ZptW3bl1cCCHZPD06MhySha7UFzjcjbp8fOecFCirzAG%2FyVjBX6OFIaadSjQq1nNhyIe8tVbaaSdHlXIWKacMeuZA1uxS95zILhyrxAdsXTL6m7kNQlx2P9uZf2qhufePFFbpI6%2FOU0WcP99RrCsrwseVot5mtytpf6Y0gm9sdeyKnPQ7onyK4nXlR%2Frg7H95M1upzu89DH6pgUcikoiihJ6NJKmRxV1x%2BMJiOA3YwhDRQrWU0u%2F0rvq0VYXnyCwsLeTJYBq3dAtJDavuzyoVpzZ99Z0%2Ba0uoiFH%2FxcqgDR7rUFeOrUn6Cywb8ZeNMbhLV5ugP9l0zv9UN5b5mFkjzxUcpPJCn3V402pRxtJd2GrnLdhtVk9ZSZh9W91fCSH5B7ofxPiWL%2Bj3D%2FuwhBRdyAyozeZwvQzs79soi%2BBKSnafLviZCcfrpBpLyimfLfTyJtbyruIQKD01tUwJyKEo%2FybaxkSNFUMdMkhQoJyRBQFhnUkDQSXhTM%2B3NmY0EDM7ffLIjqWEGt8lCO6mLia3PukFnghosJD5p5SIho%2FVDkzQfLE%2BIrYoJXkD19pdP7OwG%2FvoIUtagiWiZ4PAFTHHlTVhRZ7dYmPar%2BNJ%2B8JhmR6DFK5DV1foHoLNO%2FpHrvZfmWZ15RQlwvoVDKhCWNK3CCch9lfFBuAqUgpFSShmNaPj%2Bi5%2B%2BWZfKeViJfW5HnUakVL4UCNVkA4%2BETfIqx4B5xSaP2L1yn0zn2ltPn4%2BOqZGmwwEVCaCSqG53ldtL1oLGAhdMLd09MpCCF6tD6ZnAZBY9hDaYsP0jzZ0j5ZjKsF4i1UmLuhbJMCnYJPt5VwFNvmZawXjEvLJqIH8STonZjq7BZ8gKgR20C9MDFqJAX1H64QW2NEup6qgzLP8cvppL%2FNNTOBTCJABOHeWoXzLhw4Wuy7gaBtjKr9kgKq8ZlRYBS32Lpxc8vIhpNDTfyNXWybMJbn2RyQ5EmWc2QF9wmSZ0KYCE%2BcPuYO6b15Uotj2Kd4MItLS7gtFbkTdrFND6pvEZqv5Yv7jXAus7Pg7avo7KDot50NX3CPkP%2BKps8J9%2F3mGQIteY%2FLGPC%2BL7872SPR2br5fy8MtKBMHedGuM28%2FMZmPJMrGgi3Gb1S%2BSi1%2FL%2FzrZwO9XH1ce%2Fz7ZQ1WSoY%2F%2BpMb5FT4ua0Wm%2BJf%2F298nFmChEQ%2BTi71est4mq9VYI6RsymoRJKYidElT2FGnDTZvqtfhGAFTbeqEw68GqtfmbVa%2F1IFO1%2FjdWr%2F8BDRRtQh9XNjubEm4aWVpVonpTGR7PVGc%2BKJNoBIWF7kYi4gUV3r1U6723i6TxUl3n3%2FtM27aZfKb7THiHW9VzFSwHJ05VfK6Ar7kaB0XgPPE0BSkSFKsBUpaLihEWoA9wBt8qirh2VSOkZwXEwyrxZ5jyt2rJmSo9gX7cg6jsEUGJU9z9xJPOEM3uQQxKgkh35DNATnVyrmJ3mbCNyIB%2Fyox4wH1bg2DwN7q9kov4pFqny8oSm3RQbGgJ1QQTs6ZMLilOVYJ9v6Wha3HcJ9jddsXp9YhGUXLXt%2FqMDnvLpPNTXfNa60z5%2FyjXQOMq%2BlNmwh5egpYrdfZQZV9rI47xlRkuyTjpzsmCBSWNkAXVoK8sgYWqQJWbo1RLo6QH0YW6pxqfCnRgkd%2BRiFjUQUQ7poIaYoakgXxwFd9BuuI38H1xBxXSFb%2FpBDIKQFn7YB3dB36l7sG1FLaKiBdp1KxLvfswap%2F30lnVESgNnvjbUoT6w9N%2BXoio0qcYOIM%2Bheg940YimsucQVvli9NEcft2UZwGQwLuilj1fFr1i3NP94X%2BPE7Hpvtj6lBJfJ4R6NvWiaL6MgzWHxiN66DExa%2BdAdAbMYX6HVF8A%2B7rjEZIXAVbDe7PVI9rmN69JOLV1DOSvRPxWNPZBZf%2FNf%2BNy65BhYxxxV%2B77XJ2wfQ389%2FIQPgajXbwMsuAz%2F0IaQcXJavKbRqR2IqyZruXjVC2%2Bhdee%2F5vdnYOedpmVtR3NGXldxSzDSIiBVpkGb9by89UpEPKrSLZmyFDzMab%2FwXl2CNe7s%2FqCtTvWgG5kpBmCBlSzDS%2Fr8N4uwBwohRW63JTS1y32f0TQsPfXVGEHQrV8%2FNCfiOUVirYcBbIeA2%2BiF68rQIo3B%2FS628vYESr79ehzS7Q9LEL9UXmik9XVHb1yBO3Ngvt5935%2Bk1efkV51mzzrM0LL3%2F20avnwMeKuWyOUZg2TasSqZ%2BKcZQiOn1Iu2Vh497ALUVZiCKt%2Fgh6IvTIj1ZLRjWAkpHKOKovNwp00eqPROiAbiNEKieXwMLcXhVJ1%2FuzmLP4tfxaHR59cBdJVG1kTAgl9ze9QKUEQ946Hkb%2BokJ5JRDyf54Axur1D%2BWS49cLr0tTPEu7UmXrxcSr3XNvumv4yXzInXKH4F7Tc7p17Zt%2Bt%2FqW2%2B93k063X7VW6lALxTY7i1nBXMxcxmzQbabxz%2BtJo%2BwijYaIGMNS8AoSMgAPt84DdHOoMPfjXhF%2BkuH1tZvuFQrRCN07xGcXRX9MYxYchDe5BcHj%2BZ4i%2B42WyPc8Xofi7bbZJN5nJLJ5qr6IqRtzqNlM17SpFsnkEyTWoABEjz4JXOQvzWYuwdnV5LNGOwTM5v9r4RpQ8ZXsYodks3o31JBlzbYtNotisnm22MxiwGFXam5oN1n0TA%2FhRvshvTSDwHff4nNzRo9Dum6PaJbMXzDz%2Bx%2BFkj4L4bFNBb1asqsgH7Dyh4DvbkPtf5yMDKzEwyoaESMSNS9P9gJVA3%2FRTlwoMwZvxECFWxIPNw9gi01nOHjP32esZTtmXHnxvZd8ZtakqQ7ekajbXetpNa6ocTVxJtY%2BuSe69OLz77zh5bDR3xjZMzUz6fxrz1nqrZGcHQHfPVefN%2BfiK86LeXj%2BSc5lPKy%2Bk%2FvCUI%2FDaLFYCWHr6nbXuILTIsb5imNKY%2FrCm28fSMxPhkN1XbNMNZGuqwOBhtTSxWuTk6bw0ZaG86b1hKddePOKuBvmiguYBn4T%2FyOqOyGRBt7bKUI1GjioBC8aUKwF7Q319UgcmtFGIzCJGBqwQij0ynDsfdFGc3TS3BlNfJ25xmzniMkpXXTPvCaD3ZaZvyzjmZdudBostmhb0ORZNN2sJBeed1HXkrUsywueQH%2BL0eCPxmsa5ZpgRJSDZ11yDv%2Bjmbd86vxZfc1WcZJ3UkMq1BOOOVtvu%2F%2BpB%2Ben186d3GTwWAw2jheaJs09%2F%2BLNfZft37DALyrNj1wABMuUKbODyTVnT%2FKYbJ3Tpq8IrNh92dkxOj5P%2FYpZx4%2FycyiVcDYdn4JbEoKdQi9054iBKsygLW46FRGxAb0NPNCm8BSNCPjoKcj6EAus4SuP3rB%2BcV99%2FeTF6294dA8%2BTK6v74MHVpYNRt%2FI30e8QGTOOdfGWzzxcy%2B87a7bLjw37rHw1nPzp0KyyRSeZO%2BQQhInt3dYgvycjrPOv%2BT8s1rptaP84VeywdWX2T4ysr0%2F7TLIs6%2Bx9zib56ye1dM9e%2FXsZmePY3NDs9zlnNVt4%2BWgHJbbz3Livg4P9WWgviOMm4kCRT6I8vw0NbUUEnFvOuFKoxQW1gTsvFirsF5pb7qTUCx4i7VmtToveaDxvK9uOaedVvPRpVOnNz0Q6bry7uiSdQ8t7Vy4JQKVS%2BXPplV2ts4bvCwZu%2BKzgITtxepaPRzWdpv74muvv6RO0SorX6cu%2FdqKn%2FXWnrtp%2FZragz13DUCl5myiFW2Ycvb0PtsXnU%2Btx8pvLFbUspLX68mdegwmOif%2FNPDONajTGoUh6tU56HBJCTBASVvNUB5VIiKpc9kd7kludodSFz7xQbiOmMk5dOYk56gzL6uaf7N8a6MQOHm0ae6snZpFDfuT3%2FjdYzjzwkXXIVHoXNuCfQslQZqBZjTsoHMqrkE4jaYdgkGz2ATOgB3cPkSukD01DnV3ttb1wx%2B6arPqbkcNAHoFPzKUUQ%2BqL0k97pjbZv1I%2FegC9zTFbrrlFpNdmea%2BgIgfWW3wqkcis8ky5FAcRd1If5nNZrl2FFpungc8wpoCl1BpQV%2FScS%2BzjlASyUTVv%2FAJ46gkJI4bHX4lTnloctxPZE1ckS3%2BjG2fKIjkQFyzuo8jvYQG1OrGvJPSTu%2FnSp9PHNTl4z5hK%2F8gtXVKF6gEKiglgcKiRlCESsQCV5QIlKWKpr34lt%2FwkSx%2FJCmP5%2FcBKQfl%2F5gd%2BrOS%2F%2Bp91%2F%2BYCg5CXK2W4M9fu%2B%2F6xxX%2BvnelVuldIDCG0VQTpU9Dw4pRfei%2B6zWx0MLie0gPbyrkmRU7OwT16JGeyXLHqOLqAfVN1GPlBzWtFNzj0TRTCjogtP1NjIvu5habN5Aoa1k66wGpqriVetJgiGdwDZtKhnN0y4n9sXYnsqGmZfDSR15%2B5NLBlhoDaedEm7sxmpqRija6ZEEg2EAnTiAC8IrmFbGz1q08P9PSkjl%2F5bqzYqT9hMmptEXDgTqP3Wiye%2BsD4Wir4jCeoHbbp5hRfpB7BakUIppIlPCD30dR1GtslDz8OsqbXmejFC%2Fv8wu5X2myq7SJ8Avzv9DFUJySf5uNvq4%2BTi7W9D%2FOZrLChdwxmPNiBRqVjnpK%2FaGxRCDspVYKAW9AN1JANoo8wP4BJUlGqdgw6m1qPQ2QW3%2BOfU5%2FieLS%2FNuKpDU3uf8bcAXyBal5jMR2NEAbPAZt0K3hvxHBEDlUxfIGcD%2BN2gNSNx36nfqlAYow0puatNpRz0e4W2oahKzQHsjf2c16ad%2F3t2KTtPobnX6D8C8pd0MDP%2BKx7wnXqGGlLQcvikMErm6TmfsuxJXbSAxqNjOogJLQBLiKEHAE%2BJGTS3JoEhTrz8%2FCB%2B5YlupJ58aOat8Kv4JvregxwcU5Cp8GFAFm1FyOfto6GS2m1NGTS6CPNKkbsTdCBlnN9onMho55BX8IJZtEQ35lk%2BhtwN5A0V3RCPoD%2FyXAcv6pAtbZczRUA64JmcUf4q7Q89ZHLeJVZ5D1Ps%2Ft%2B0iCT3AHVtZC7JDCXfR7OSb%2FXja5H3zQbZL1B%2BULX1BMTEk3AseSpmnKEK4T9ekMIidUCRQFfcbj7z8gNLvzF7mbhQN8h6ZbRset%2BnQWdS%2FZX3k7WpS8P9sfo0iGS64wV516pOhjI6TZ2dApgI5%2BLhxywYoWxKUrykKJsIoDsR4mSrCTg0egMPnLW%2F3Q5Nn8BZEuzqEI7HK3n0%2BzFmuO3TtWQ5WJoG9YqCD6Gc32SxnbnVPfsxvrFXK2dILl7bLthDp6glhcsfp4bYvbSmj%2FmQ94uBTw0E73x2jbNRCvC6VL6GCFDwU7eWQDcC5FY5s0slieRDwtAbRsbLXbaXAuu14e2OJw1dc6jQ3ZdY8v7rv2%2FBWZLqvFWVvvcmwZkK9f5jS4muO9yR5res4kfkRxhV03L1RfPOiPtYi8pd7jNEsOpyTwxpaY%2FyCZu%2FAmd5Or9uS3DYaeqVOhH7gZN%2F8I%2Fwi1fEuLXvyNivibjuKvN%2B1Nc01HF%2F3h%2Bef%2FsOhox8MPd5SFucPjorQwXT%2BytA8EmA5mamHNFDVhBI5pjZbQpugBNkO8MvRub8KVDKST1Wag7D3xlin1ZF7LFP%2F79nbvCXFOY%2BPUjrT7%2FotsPXXZ4exdPzuhZuL5LUXVAn7k7PbhG89uz3b41X01gbjP1xwlu5rrvvf9%2Bpbs6E%2FVu7Nk642%2FPYRaAiUBdrmO6CDTBLPQFA1ur0uXoBR1INDMkypKpoTqnSMx5GiEdTEaSHLs0Alvu%2F19%2F5QW9Rv1U1ridT22i%2B53pzumbs%2BXFFXYC%2B%2BCGsTj5JUT%2FGCgRt3n78i2n71FHG4%2Fu6X%2B%2B9%2Braya7os3ZbDmgWfXun44e%2Bu2NZKuGZ0HiF8M4TlMPR%2BEU6rPKRJ8wOU2RFUFLex3egEsz3YqEAq0cqhAAW19dBZIlVzR61tuIdTnpXH7l%2BuXrbjPUyep%2B8cl6aXKWhPHpDcXl9KiTWDNr4mBQc8Tq%2BNzK%2FOKSbsfl79o9G20R%2BbrBXYvUg0rLHhtrc4TN81TTOWSZ0gL1ZVlOYH2ery%2F7XVUjFMbzYpg7UswcqJPQwBd0LKLabJ8IaCr2otcjSkIrGwootKECaUd4XH1%2BSdazRrfddkBU98t1htvWrbjqSqjaCguxrffM%2F5zDCpBALUycmajhd%2BR6ww4SWafuZ5eU%2BtPid4lgd3gt%2Bb%2FY9rQoZNmiXYPXyRHbRs8zX%2Ff4WIFjWZJtUdSD55AP3xtXH%2BZipC0EqdBGDA4CoYEU6gRLGPU11QhkLTBiEYPiqOeQgwTCl9aok1Qr5pFf71qEeNxjy%2F8F0GoqYPv75Yh9j3x4DuJ%2BuEzHRpAq2lMqb%2BqfTdiq6kGtzfOWsv0c7lSeMXDHBDe1MT%2BLUgx0Pg%2Fp87u2UicdIvqQi8DkxhcUwUXCedMpb4NQjwY3npTmgsURJavLwCRyEcN2HfWsDVGfv%2Fu9ZUWUx%2BPYFueUKwaNvbtu%2BXps3eVWbN1GcgVrdMnWJ7WmJz9SD66EBidag0NF1Ukep0t5A7sFCWdhzvYwHv6L%2FBehXuHqfaBwBEU7hfVLcXvS4VQv%2BT%2FvaSIl7cbeMc7ekv9i8S3e1L5xxpvMGcu1EYPbKyCiijjGXcDKckm43PqU2qNWlXusZMiqF82cuVzolUHN9NNR0HZPxFPV9V0wLtvq%2Bk4DqOwVWDlzuQLVdqFiP08cRX7aRlBVfR8cb55bWe5LExnlcsDp1vAP8Q9BucPMk1Ulh4GnN0SAdxcNHv3q9ohx1Ati4S%2FtkWjIDe3hQdkUGrGRaFBiUdiTSkI41UkMuuQHP%2BEaSQYlPQTFWJF03BNPpTu5KFAdkWgDukzsZKMG0Q1TAQQglScOaP%2FdsZ8%2BfP75D%2F9Uu5Gs3FY%2F2SxPld0DHOciXI9gqjcEidXjE%2B3BLosy0OcX3T7O5g65ROGyzQ2BZs7WbZVnO5ydLe32hMwTQ4wnnKXW6XW5LAa7oaXOIHoUl0FgLQLH2by8wSTWeAx2Y5PDazK3BqZbeJZwXGPaYhX87ZNszoDdaRxotXO1nNlpdvAPFWHDm8PqEE0sZxDEqGzxisFNnuCWetPcGrObN0p23tTZwMuRVodSV8%2BLTrOV3eRvzjQZiSjaLYS1WEJe0kNsJlZu9LFun7%2B%2BwW4gRDRbaxw2nrOGm%2BxOj9cmtbp9ZqeTM1m8UXfQQCSTVSQox6pvtjot%2FFpHvIUjJovFEoYvHYV9C5Y%2FxN9OfcalvII37UEhTbTg%2FAQIaPb4Vz6j5u8%2FaViycMod%2FfkDcpu8QZbZoeBi%2FvbzP3XPsZvOubMtaPHkD9jt6%2BU2O7vqU%2F9C9SMvgrXpQNG%2FE0oJxun%2BCiElUa0IKQSUwERxOntKSV7ekcuh9VBZBBo3VUcB58ofKBHCwLyf9qFosz9Ibf8dGqwaBMjRig4SGOZ2UkWI7UiO9OfUPdxOYFApUZyfpY7mgEc5rtNGGk2H1lPhAk1Hp%2FVAMqQEHEUfEYkkUQq1JMdzsX7kklRrTrUi1wMcDjmu1YYfATj7Y%2BpGpPEBXuoQIj8rR9mgCl4C9yqmF7xnVWxGVniNqtpVmXBvQ6iwni5YQ8a1jYrXtc2J13HvgkvqWxuva1sbr%2BP2S5ceKGyBwDv2DbrToe1u6BkAJV7xnVLUaq0sJB8pFqcUIPi3yuwxi4JuLr%2BP30f3OkPQ72aO0xYo3%2FEsmO3QO5qEF8S0qQH0UsKXv0brnl9%2B8M7jF174%2BDsfvPOl1au%2FRL5%2F9DsbNnwHL2pHR1NTRxMZhJtHktOOxLxErPF6YlLvpC9YP73x%2B4ofw%2B3xVdrHcDE0dQQCmCRgvt9b35xINDf1CDcRSfJ%2BpYl%2BSf8YcurfmXP5F%2Fkj6J82jNsrkWiEuhVlgFfyNkB3S5MUzLhoNiwSCYcxQ7Ui4J0Xh7fmqRbaPa1tzujxkBRlsEHy0%2FOM4pYLPb7g9O6BQJN6l9zQ0OGyCaZz0vMTbHOzXfQ7a2tsterTcqxeInODoemdktw%2B1SbVhKwtW9ffe8VKadK0OVuC3bWzyKm5LeddsWTeorWyY9IMtUFutdu5g%2BRn533qkocdvLs2HmhU75br%2FMmWtD8zA3OP2t1ea636jEzqYxJZGAwFiDEd61oTsrRuW3%2F3pYNi3bS%2BRd%2BGjOfVpAPNd6y64Gsz1GaZleWIPoYL%2Fv9mTeQBENVEguiF1aC4YeXxFETw6QyPfn0m9g8IrMFAvKM1EI11DARnbqibHk%2FIojy5rSdgCyZi06y8sS024PeuO4MfwQ5Y9yKRZCqyYaF30vzeHlmUprR21tR0t0yz8KZY66zWuGvxVQB%2F36kP%2BK38t2Hu6NQ9SFJfw0AdpqPEK2qTMpf2VCqJwqPoJezTL824b8akoL%2Bx03nhh%2BoNo5e77psxg9Q5LzebIKD%2BfsY34f2MtB9fk9v5b8PT6tYrgv4kRPwd0q9z3gdJSJ0653KjCYPwCaR5aUY63eW48O%2Fkdo33yxX9wCiMv2QTrk8eGSI6Ag6moG9t2P%2FF7GRNlDjl0gw7pJ5aOXXqyqn8SENnXBmbSwUYLyqJjv3UmY1nKr4t80no0faXsaIEiF%2FBRaIBnItSce4OUif7W6Vm9T9H1X9Vj71BEm%2BRdmIJQST%2FZfVdudUvh9S%2FqqNvqT98g9SQ3lHibZY0mRVHooyDN%2FFHmTgzjdozKw28NwQ0hwN6BCoPKaEk3YtKwNhwRLXuk076CGoZNXDQcRwZvreTZY9EZi%2Bd0s4%2Bztv8iei04JQl6ZbDD2eHV7X4uHuFVfPrOmcs6m6Kr7hssr%2B1VZFcEZ%2FPdJkn1hOs8SXS%2FNFFgqt94PIZzZ3tdaL6Q5vo6piSzdy737pwsX1VyxUrF15iJ4uNkq%2Brbyg1Z%2BO8VsNC1UmcvORPRfxtPrfRwL2p%2FoA1eZp6Z%2FaGffoewaXcA%2FxBlKlQLfhQL%2FoPgBGP3qsA7IQS8qDVNswHKRSheDUvA3Q7MZoRcJMxlEygujn1QdyzfPfq3dEp%2FbXh5e5YXW2Ngfvza0ZF6UgFL%2FE0fTq4LBlvTE2qb%2FKuuzYSXVnjTfM1osvqMHVbm9950quIZlbqaL6YP7jk3kUtA0GnX2nvq53f3WoSsvEdDRnULgo2fN7lNZJgI8%2FVWi33c3bBZnGY05%2Bdm%2B3qc7fNmj4YGKLj2nfqFP%2Bg7jdDlxEV5XsJQZP6hYrS1l0VQr4c69Xueixp90gnZPmE5OF22j%2BSYEWHlZ0K%2FHgsh%2FZtsbh6h2DNRlvv6jJh9XaJaHCZDiUDKNTMkvb8vsqCyf3ZNdSmO0fa0Y4baJTtpbKzuVzeeSI7fCKr2Z0WypapnXJ4gnoWy3PoUIlIQ1TXdqhQJIXp9Wx5fYdpeWh2TY5D%2BYVyKd0jw3iumwi%2FBC3cEy4o83QlZnW79MrCgCjbhWXBlRZVVZZv4rIKpXC01HFlHdHLoeWVl6UVc%2FJ5uGm6CViW5mulYMk%2BHqNYr0AyUPivLg2oMs2MPqtuhHyRyiwvNJej1Br%2BfcLyoAyu8D9B7bgmzUqfFobF5nKnK4%2Bt8MPJkI%2FxHUNWk117jugWF%2BxazTAALQn6%2BUE9lhoI5ApGA%2FiuJOsrlNP28SVVuBVajXmircLel46w2bJS1Q0Ft0KDuikDFL%2F3pYrid1Q4FvofwRIo4R9h2ftSwc6jHAMqLcCql8YPHtlzGoByNXYN6v8hXnRaOhUvx0sVLCexwupGDR4NOYC7PePa5keIPACnuAdD7dEadRuTIiS6Lb7uskb381My5yjzF8lGCjBRqdwrWJCagfB3yCy7XT1i92hbcZ5Ci1FJkgYMDf6n%2BjspIsHFjJrTOdzSMuOa9DbDcj%2FnH9N9bIoGVgzHPWIQuFuYtaMRaq8eCKI0gEF6lPOZjBz3EEvaaxwSUT9U%2F8JbJZPJJLBLolH1La%2FRbF9AbC8JJjv%2FmMnssKjLRBJyqj9QXxNko0Ux%2FX79epfiXkm6fmKwF%2Fen1HLc6LxloXWKvGa5rVCVL83VuiPcDEX%2FK5pTXOxHfx6HHB0t2FI0qI2rCZFTrvPWU67zVuS%2FkTsLnc7IKhFg30e4FOkqNSfH5PtkmUy6Cpiv%2F36k2sbqCeCFNa%2BURpoY0sZoYmCgCr3qgZz6s8I0gP1bYiR%2BD79H56NOz0EVWCTy2%2FfffvSCCx59W7uRV9995eqrX8GLesOXNm360iZ%2BT%2FEl3uZqL%2BFyzSZ8XxpTiI%2FG0nkT4zznFZ0t4ipMz5v4q9ssqbdKUZt6u82knPCrt6PZwsnn0XySVnyPR1ZXAn72yx48bWJsu7apnI3Hy8bygUK5Js32qcytapqgmn95uexccj205vGgJ%2BeuOeG2SORmKZr%2FqKzcx9SFctMJdwMUFZDJITs7dnOp1EKZCxg304Cevyfya%2BvlKqv6aXK1qIj3imL%2BL6hL%2ByvUlFfE0VKZ7E8gBY3M%2F8VoJCFgizH1W6VyC76nH6b7jiibYVxUmVIEspry%2FLgZIlCeP11Z4zs%2FAwvVwtGFEut5S1JY4lfyT0N%2FevOLo%2BrUEgjcqc9IkGpQbv3iW7Co5b%2BKgjvpzYdH85PLcc4X21ouwEGl%2FS4qnUAvoSlXUUhR1eKr2VWFTB%2BGMl6FsiQsVD1R3urlAAIoSn7JQkmiVVCHSpCwDH%2FqPepXQ0Db77CJOAImohB%2BRPWr31ev5g%2FkE%2BzTa4lbvZo8xdWPffQu9yJTPCNB66s%2BzXoJt%2F0L6hSoCuBIoK8fnBGG87OoRckJpLqyWe4YbpGi50g0%2B3I3UD85Oa0fzubfoXxPLbW3FDWzigmyJeM0tQkax7PqTy80%2BUxfUHPlBZIRVNQ%2Bv0xRm8REKPoLmNr0%2BUo48v9GFbXPKylqQ2IKm00QddgyWGMROCTxdLB9nCY8P7j2DjlsV%2F%2Bmfr0C0r%2FNkeXbbpPlOTBBwT0mVz1zx9S%2FwJecBF9Wgv3p032iP2v4VSgfgW2G%2BHUEdEXU6iq4CtpLJfIN9XQG8dwa1VoO8XC2SrPDDyCOQptXgbcPvlAgBfxBoGwftQKeKFrNTASPt3pGGqDt%2FQRasn2kri%2BH6L80MJRsmVYJrAKyDItpJUy3%2F15WYIJqcJ9Q5N%2FLFJ4c3dc1URpWl9hW6mu50MUIelg4ucTPf15zs5DFo1c0VSp1tKB9jkwIyuM45kb%2BIP8gHed%2B6jO3v0KbIknzLy636E8KPTdCuUpB0wLo9JKnAO6pv0vS31EtBha%2FfJemkgLVVnd8KCk4qBTpQ5m7FbifBKrPJcq0pZAFVG%2FXbOFz%2BTcq2MLrcmV28Nmi%2FOHskh82bau0k8eWCaPijQPWQ5lUvslwVCfHkXBMIehqUgtDNLeauH1huvZTbYmw%2BluPjyWoNGEuxRLR7LK5fSyXFUyK7PURQv2v8D3XOt2NJ6liBbmPGOsakw1kbeOs%2B31Wm5qpH%2BiJWSzqdPr2O7zc2TmtnrzCig6bBd%2FvgQmzOlz0STWIlmZEQfupogOZFHUZ7EkUnMn0RrpIMqAgHRJAOjIJ3yGw1I%2FMAp9q9S3Q%2FclADNm1wEeO%2Bxbwg5OIYHZLY3ehG5lJk2xhco%2B6JWybpEVz2wrR6hZyD0QXZbeDVB%2BonmlimpkWprdAs4WEZDSQppsDlcdCBJJESIYFuAtUnC4GIF2C3Uu2Kv7L1bdz6FxtqxpG4TqQOqOUNAJ2HLvPWA2GgDy4O4vaDrtyl6P%2B1fAll%2BSyFcQ28GHqh7fvvf37udylf0fNwhzgz87Y%2Bcf5x9GnF6ygHu18sAbipWeF0YPBgp2GaKeQduxxdEr3SgbH1kvH7tvqSLhedomOvZyts2dw8acu3dY%2Ff%2BucuMtCuP%2Fe4zC4XnH3OLZ8ZuxTWxy8dJfU5dhDeKPSlJy5pn%2F%2B7u3XrJhmr9C5CuleGflGQocKnlAUaRKp0BAHV0ZwUt9VCqk6zYOgRIuMfePJzdmBdpPJ7%2F6B23%2Bf%2Bsp9NMDZevovvfYHG5dGPISQq1DojqNckchVrCcCYz%2FQ0hI0m3NKDRfkgsrnamo%2Bp0CAq1FyvC3a3Nak%2Fs5VX282x9Ufy3E39VAx6o7LpCvO2wK%2Bch9jNqpJCutcIOooKnYWtDK8gTRVYygRQfwgzKM5%2BjP2jOZdx3r32Py7rQUPOzAnoRs95NvRAR0qLGU11Taqu1bUYSzMcWjMEir067JQQHfIrLBHsrgv00%2FWavd8HRLMEEYFSW3HCSNQehnrHztKqHcDyo4VfZ6gPKCR%2BgufwA8GegxUEo4A%2Bgd0BASHiH6jYMLIsUdQJTs%2FC641KN4oCHWolCMLlMfIdtWKScjx7SM5LD9HnfmhrGI0S139UWfUnxgOXdJFW%2BAMcGjKr6eHAttHF5sUoeArYKDcxMSYcKA%2FxUDhPiEOEAPafSIUFArN0r24ynI91EPARDXvIDYyvqZaWeroBOUABQA%2FE%2BDXC7PWafDLQY2oiwpUEyj4RQtVlUp1GrM7In2p2A7VuiOW6otMiGOo5Mrp05ejVuTy6dNX%2Fk%2F7mybZQ0nUmfrbx3U4KueDnlHm5wdh8FFeKnoaKKh%2FTK18StOPhwG9Xo5mqXAxvw%2F79YQwwDR%2BnAKQQ4izVXioB84qcppWB7IqjU45z4CE17OvF1Dw%2BoTFqxtz8dxwtogBnF9MjIl%2Fin%2BK8s3hM9laIn0TiCbTAXL0T798bPXqx36p3chrv0O%2BGC9Xaj48Ecv8U8UEeBvUEsDlTepiU5OvlpeNGvpnKF0RvUooWhIjnx6GeBapXCQYTw9DNg6%2FOC3gZjp76oNTj9Kz6Jqobxb9NDqc08vcKReOpcsQV2K8InXFaXW3aI6Ofr1k48rp7CX7rx%2Bv1UKPsfvzQU0Kc83i2VdILmd2%2FyX55zT9luN2%2BCu4nKfwPcK%2FCvDVU%2BpHh8%2BLaldIf1fA5h3ndT6Fln9%2FW%2F9Ce1vndfvJtnPVO2xhm3qbafHVCN1X363UXHq9xuVD8OSD29Z8pZ5cZrern9cAdGW%2Fuib%2Fud%2BVK0L9a42r6C90kL8KzxwLQw9NkIQJL0ASU8M%2BVG0KsUdgdvpgP%2F6NqqP0%2FgHZFUfGEijZLHpiIgvV5%2FBltrj8Qd7XQd5p4P%2B7tJo30NMO6VGBwahSPMYiaaBYoLY6uEnciyhhh1Z%2FvvacG%2Frjpsvnpzs0B1Id6fmX8119l88XnOxe%2FuGrzzHcdu7UtY3%2B2vmXN5zUyj3ZcPl8p1sZSs6%2FnGXtwrV7Ka0XZdz83fwjjINpZWYw85lL8BRK4nGyIir2RiOsEyipuEcIakpGjWgBjLiHWOgj0Yi34gW1kKPxHt2Na5q%2Blwg1RdRSpFDNzosb44YJXnAfoEOpZW%2F%2F6u1lhYA6leevezbI26zNHO811M2dc5HFxpk4i1jPC0s21%2FBWW5DnPQbn2X1WK43%2FaM2n18DfSoybbNHijFpamzXI31eRibGUOxSu%2FlT96YZlq1Yt20DaSBuG6knw2eusHs5EPBfNmVvHKdaQzcDfz9ZsXmLDWGXy2U5OsYSsIn8CS12jQIyD12KKqZrLPy7mSPdICmd6WGHG8NDZkkHuE4h9TU8FpmUO%2FVjC%2FEinToFyoNDz2p9XD6g78WgQdPG7Z3R0T%2FZ5dTM9lsL8Ktek7szl2L%2BgQwGgwkZHc2g5Su7NvVqwGy2Ua4KSXUwt1X4PaM5paaEu6jQ5zVFyNabxvUksVt2T%2F4VeamYPlLtffdQsk%2B2sUTY%2FzDXl%2F05W53%2FBz9UK3p7LjapZ2ZxOm%2BUlZXrL3HHGqO8%2BwVroDaCTTnTxitMxmiAAYQzVJQH%2Bnj3oIHnPaN6Zq6sNSLjBl8tKgVr2mj%2F9CWi9dnKca8rBQBsd5R1tzVlgrl5pbnPw6kZclCr2CHxMnHohLz%2B3KRQokzALyeIKFU1TNCiayJdoHvDYe7K6mZLm8S3uJ9dojuaJ62%2FqN%2FtjQxnSnhnKPw%2BLNrLi8ZKyJ3x1YhiI1aNAtP6NzCGzYv3DmaGh%2FLvQZnt0evgIhTFV0kE%2FPYxAnOHhCQUZdCWY5JWJwMzlAGl1mpNbDU7yyGnhRMILsYhH3VRAijrPcBU8%2FCj1Y9NY6cnGVW0CjTLaz7E3epvaT%2FLtTV72Rs%2B0WVVmd0dz%2FMGTI5F0OsIviaqDlbbO5X6xT3PeXbXHRtf%2Fz%2Bfdka%2BeKPr8KF7IF4vBsT9MFPuPJMBTBMq9hQxXelQ%2Bbewnf18ap4Ib%2BmSMrtDU5zqlD8QANa5MBGh%2FOwOvSDfcV2d66mfEWsbGWmIz6nsyZDWQSmqmxDneYyvjHPmRXHZxeueyRGLZzvRioKnGto9nIPkibAJA16adcOZRQr1iAP3bUyBR7T4RgAWTKxhkCYFwshq%2B7iV9r0whk50cmRcTg4fy5x4OmmNkHndIA2%2BYuMbmE9dwGYB4KFTsvnDE6Ah47r%2FfE3AYI%2BoXADpkdlENcZ8OZEEf8FFGZNxMs6ZLpG3SUFLL7Q2kcFU%2FA%2FJsw%2BvWDa%2F7emewLaoeibaF1B9qUNnuqWK3%2BUfXYVL1v%2FomD15xxeDkPnXTOKSVcCbDGtOu0YQNpGAP7U1HU58UrqGu8xIbHtkQ3LVhb7Dx46ET3Ffcm1q0YcOizNmf3bC3VjWfAcpSv3MyTlgJ23FHQgmgvk%2Bgk8pL0mcCDOn08MDAQlf%2B%2FSlTZ1z12fnqntOhbOTL9%2FZdevbAPN%2Byby1f%2FuUtC%2Fixm8ZBo59LTXEW060hGrTDplNprWd58fwB%2Fb%2FE27BdS%2Fs7U%2BrGVCeQ46nzaw9QccnmZerGZZs3Yw9aVHt%2BKh6HN4ti6lxIhT%2FwahnZtWwzlY9QHQ2c79C%2BdxzvVDKy8GqKWQERO9YAKbpsDUTLdWV5dE8PVPjvj9pqw7ah%2FPFVtkit7aj6G5xY9mfJrCz1j1e0BcnPol4UjtrCdbahIVtd2HaURujnFJR8CuOuUUfhrGhgKKgjCYNSvCc1WKlEp8wHUaAYynFNyzZn%2B2MnYv36dbMDBTonl%2FT%2Fma5IKAyEGz%2B4eRnVtaX6tss2o34u8mWorFtuFgm4A6qK%2Fyp%2FgLEBVat5WnPDdKA574ubuFJ%2FIUfZ%2FY2Nt6mN%2BZNNTSTaeI56gKwkXerTe9DDHUw8%2FH35FY3nNN7GGuBKWhrV9ep%2B0k1WjNWVaHkW1yA%2BQHWNu8rtBw2a5YXuE40rs7%2FGA%2Bj09V3hA98yRnFPOGr8ltGlsFdD%2F7tRce3LH6Trcneuiy7K7J3khKu%2B3qUaXPWaX7T6%2FKfj9BX2eZq2XAcZT79u1ClJzUtHUqfqSMWBcZS43Ena0cUGLgpkKxB1QM%2B0Fxz10wgg6r5rltnFpH05pepUq3Y2HfYqeKRntmUFNz%2BXmcOs1H31U6cC6RTVLfCg7RNBF1UF2%2FwBgu0fFQtPEU1sSg3VcNsR7dWq3af87tUFn1l3ltXpaJxpNvtcZkH2WmMst3JqRpxUH%2BWC0E1qOGtP66s1MYv%2BVLu8%2FXFXvV%2FZbunYYBeVN64ls0ur6NzpV9xzlmQwB5qC4Tq70WC0tk8dWJXeHvkD0h9zJOM0vD86%2F1NJMaIAolctvlByferCsqOKDKceOfUu1PsmoFCamV5mCrMUOCi6V6FJosMF22AcrKJgQDVhfYh6tepp%2FlYgvnCEAbJQ1L0rOpajEmRcasMiPfxhgGoVo4rwreQpV6fUJHH2e8fa1s2c13Apl1b89a58ozdoap2sjgLN9uISl7P1DrulyeIkt0zr6JjWocoPOZsaXPb6jtqBblsgsaRre2xHi4nELm0MhG1%2Bx1SXwLpFi53b%2BaHRYo%2FIrbZtuWAKu5cSEXfybnnmUCaXGTpQr0xK2O2WWY76f%2BnAjNVf7nCZHU5XqIkTnpt6VtvsFlPXg1031g%2FVRdpkkyVpD7jnmax88QwDvg%2F66NnMRdRXTcGTmQc3cuINwN5IQqi0yzb%2BYFVHuVqI5s4ADfg5oE4ybDLd28mFSFmYvRoomsWXEdLU2Wl3GJy93ZNb%2Fd5gqmNaqJZSO1l6PVRy0nZIj%2F45EetjLguh1rLqR%2BSK0hO6NrsqcNX8zoUdjQYDJ7tb4os6%2Bi%2BY0qpY2AWlnLRDWdGFTfGY1gV0zNAtJ7pdo24se0D88AwLY%2FgZmE9iuP4V5v7CSR%2FRThaHLh%2BUeBkXwU6BC7lGOevK65udTv%2BtS%2FPfW7qj3ljTcj3b9OkbV85t8xsMj7Ddj7DGpthZKwKPvso%2Fc%2F1K9aLE12fMWLV1y1D9ua8lyJdWXr%2FbG%2BnoCFutf%2FmLILe39ITUV4igr3876fpX5g2zeB52sWnIL4fXHlgeUzOx5QfIvJQyrKQE9wHUqVq%2BPEaOrz0wVvNbJZVSfsuMzxN4l9PkedFzw9V5Dj%2BnzpgoT4ZxCxJfC5RWLc74YVHxKlExCYt0JAOMatREhHBSCAtSfod6x6Ls8HCWECLwXZ9nd5Dz1T24JUdWs6fU3%2B%2BfcnT49Qe%2BkBs%2BwdsMZgPXMp3U5S958snPP%2FEE7bvkOPCuTUDTUQ%2FUzirLhML9yPahoe1D5Fj5jWsaoveyP00PehdUAHk%2FseDVWsvDWXXXsyn%2F4wfpXc2V3%2FQxli3jl%2F5hj%2F83avSCfpTNxOEKLmTjxOEKuxgNlsQn0xgct724mhynupNW1Ph6o3RYS3%2F%2B2TJrzLlkFz%2Bip3qCHKf6eqW02QJLjBYuuj4sobhCWqa%2FYHGEHpcnumuWSOhxeaL7sOakNR6vvmo%2BYcfFA8UFXEPZf9UjyudIOyNwx%2Fi90DdsujS%2FFX2UAwvWSVK4NxaMhAGw3oowp%2Fuc8CTi7D2rBgZWwb%2F60faR7SPsEbjkXy4G0XaqhXPwe2cePjxjxuHD6ssQuR1fq6PF0E%2Bo2t1nePTn8TUmxz%2FA3crMoCc7egESuoTHYc7mYdg6etORoOhR7BBGD%2BqJopELrl4S6cJNRtEAsLP%2FOdvnJq0Wo0GolY2Et9VFB2Kf%2B4bZvVyxfOMz3WdFfSIryj6DwWghre7aQbdiDrkTL3A3vNDuDpk93HqXwam%2BbWmUJZfNn5ozKV5Pmmq8PF%2FjVY%2B2Tlk2M2RzSXKjmbQ4RZcQavEYrN%2F9rlXwtIQqzxQNMzPPfHYLvuPoO9TbT8bpGw5CQPGd%2BSyX%2FCyf0Vxjd2R9NmsunnXYa8xGHzn%2BsSfM5J0y0DZEXWWxkXjcR75KBLNLHi7XvX2G8VOrf4Ykg0AMdBESIpo7MgAfyakA6rkqpI6UjNs0px7cMV%2BD5BF49Tez1VGnYmq0WIijp985m4Sn2gJR9b07riPPFo97OYbUZbxJCpot7H%2FlpZBicglCPN7WOfJkcHqc3ElWqvvz%2F1E6bIQrG%2Btz6WkM1SM9FBTR7FSs8KyBBytSmNEoquJNFN5EQyTiCrnKDx1h58yxCepPHU5nxGoxEQeeOZi2m80DxNxncVhr6BmEfUarxejw%2BWSiHhWk19bSY7aKR5MsteblJpfTLtjimBouXsm3d3djjYM%2BwEW0El9dM%2FueVRWIsXwe43R7SgbVZqrnqoJ1X%2FkuF7pcgf8duv4q6vayV5U9zMV91GxO59UUjW8rHV6u799WzKMT7umRCXbYUKM%2BfoaCcwgaoqZUtmodV3p%2BX7akb4dnU9B9La38RPFUG2SCC90tVA4XwEFhyOpZZrUCsgWYHsczLFBBVGNtstoN1bw0Z%2BO4fYIbvZVt4EUcJEKOhHeincWqONw%2Bq6w5Go%2BWGOSR7LhKV%2BKBqbBPpfUvOf9QqkpDyVhBeyyZQGMsdA5FBUqvFMtUyGq9vjnsAJU4UcrxldP1CCaofyDkSAifoP5QwWx%2BSyUGxp75BzGAvtG7uQ38LehlyEQMeh0TeE6Bm7tYdXqdkt0uOb3kfYlNwmOdDyacOq%2FqlFo1v%2BPTmTi3E%2FglC9W11b34A22zmLzvb231Q0L2Bgg60OTW4YdstO%2BYOJnO38TtpH7zy9ymokWyA79qlVSn38HtpFlImFnhu3b4boNWXklOXV0Iwo7lQ1hrZyPFcwtjwFP7iEKSHSSJw509kh8kj6pr%2BH1jR7km9vcvqN9657vffefkv%2BfKxge1X%2B7RdjYUPIESN7gTvRkB%2FRMYtEkaVkdHApmdBPpnKmz0n1xSWFOyVIuLrinZwpoCRe6kyiVZoHX088F%2BUX4%2BWKS4iBTP0IWxGtZgOdMaV4KTayqHQF%2FVihBwTbgDXTCmKoOBJeNhwJMzEVjtjIFLuU38fPR7hqNG1JS7g%2FqRCuy3vmQ3W9Vu8qbVbP%2BSzazGRJH83MzP90Ck2m31mMjP8TiLn5uwD2Ugr2PFvPQjB5BnSJvQxGQZZEB%2BLopqzGzDbMmbkAPkZVJjeO5FzOSBKCgJze2ZS4Gemc9twrwY6u9H61iUQTcRvtdT9RW3tRxAWwFs2tcuJRnI6xjmBdWjbgFNRHMHiF1uHYBfUR%2Fut5Ug2jXAaT96%2B9RH%2FFToRwIzGbKmVJ1AZQnoabSB1yyIg7ByAridHApPMjyw0OiV6RjSbCuzwLAvFizBliWJua1tsuAgvNPbmljYbpt8lkWam7b3XZiOiKJskMOtmfScnsbPW208knwjuXrXK4Q1iKIgNyYXXDVT9C2Ye%2F78GQ5BEEXfFdde2RwauOysdJNL5AzCy84ard%2FnGAVN8alecnFdgu5Gbd5DJTL%2BhHZK0vApVy3OfU8XTSJg1TlssivsPYUlIqvn66PzrVTymCc4wgF6SDNR0pDf%2B9Gp%2BVnsUH5WtpHYsuhOaey8zdwLN47V8MTbm78g687%2BP3cx6tcAeNpjYGRgYGBk8s0%2FzBIfz2%2FzlUGeZQNQhOFCWfF0GP0%2F8P8c1jusIkAuBwMTSBQAYwQM6HjaY2BkYGAV%2Bd8KJgP%2FXWG9wwAUQQGLAYqPBl942n1TvUoDQRCe1VM8kWARjNrZGIurBAsRBIuA2vkAFsJiKTYW4guIjT5ARMgTxCLoA1hcb5OgDyGHrY7f7M65e8fpLF%2B%2B2W%2FnZ2eTmGfaIJi5I0qGDlZZcD51QzTTJirZPAI9JIwVA%2BwT8L5nOdMaV0AuMJ%2BicRHq8of6LSD18fzq8ds7xjpwBnQiSI9V5QVl6NwPvgM15NXn%2FAtWZyj3W0HjEXitOc%2FdIdbetPdFTZ%2BP6t%2BX7xU0%2Fk6GJtOe1%2FB3arN0%2Fpmz1J4UZc%2BD6ExwjD7vioeGd5HvhvU%2BR%2BDZcGZ6YBPNfAi0G97iBPwFXqph2cW8%2BD7kjMfwtinHb6kLb6Wygk3cZytSEoptGrlScdHtLPeri1JKueACMZfU1ViJG1Sq5E43dIt7SZZFl1zuRhb%2FGOs44xFVDbrJzB5tYs35OmaXTrEmkv0DajnMWQB42mNgYNCCwk0MLxheMPrhgUuY2JiUmOqY2pjWMD1hdmPOY%2B5hPsLCwWLEksSyiOUOawzrLrYiti%2FsCuxJ7Kc45DiSOPZxmnG2cG7jvMelweXDNYXrEbcBdxf3KR4OngheLd443g18fHwZfFv4NfiX8T8TEBIIEZggsEpQS7BMcJsQl5CFUI3QAWEp4RLhCyJaIldEbURXiJ4RYxEzE0sQ2yD2TzxIfJkEk4SeRJbENIkNEg8k%2FklqSGZITpE8InlL8p2UmVSG1A6pb9Jx0ltkjGSmyDySlZF1kc2RnSK7R%2FaZnJ5cmdwB%2BST5SwpuCvsUjRTLFHcoOShNU9qhzKespGyhXKV8SPmBCpOKgUqcyjSVR6omqgmqe9RE1OrUnqkHqO9R%2F6FholGgsUZzgeYZLTUtL60WbS7tKh0OnQydXTpvdGV0O3S%2F6Gnopekt0ruhz6fvpl%2Bnv0n%2Fh4GdQYvBJUMhwwTDdYYvjFSM4oxmGd0zVjK2M84w3mYiYZJgssLkkqmO6TzTF2Z2ZjVmd8ylzP3MJ5lfsRCwcLJoszhhyWXpZdlhecZKxirHapbVPesF1ndsJGwCbBbZ%2FLA1sn1jZ2XXY3fFXsM%2Bz36V%2FS8HD4cGh2OOTI51ThJOK5zeOUs4OzmXOS9wPuUi4JLgss7lm2uU6zY3NrcSty1u39zN3Mvct7l%2F8xDzMPLw88jyaPM44ynkaeEZ59niucqLyUvPKwgAn3OqOQAAAQAAARcApwARAAAAAAACAAAAAQABAAAAQAAuAAAAAHjarZK9TgJBEMf%2Fd6CRaAyRhMLqCgsbL4ciglTGRPEjSiSKlnLycXJ86CEniU%2FhM9jYWPgIFkYfwd6nsDD%2Bd1mBIIUx3mZnfzs3MzszuwDCeIYG8UUwQxmAFgxxPeeuyxrmcaNYxzTuFAewi0fFQSTxqXgM11pC8TgS2oPiCUS1d8Uh8ofiSczpYcVT5LjiCPlY8Qui%2BncOr7D02y6%2FBTCrP%2Fm%2Bb5bdTrPi2I26Z9qNGtbRQBMdXMJBGRW0YOCecxEWYoiTCvxrYBunqHPdoX2bLOyrMKlZg8thDETw5K7Itci1TXlGy0124QRZZLDFU%2FexhxztMozlosTpMH6ZPge0L%2BOKGnFKjJ4WRwppHPL0PP3SI2P9jLQwFOu3GRhDfkeyDo%2F%2FG7IHgzllZQxLdquvrdCyBVvat3seJlYo06gxapUxhU2JWnFygR03sSxnEkvcpf5Y5eibGq315TDp7fKWm8zbUVl71Aqq%2FZtNnlkWmLnQtno9ycvXYbA6W2pF3aKfCayyC0Ja7Fr%2FPW70%2FHO4YM0OKxFvzf0C1MyPjwAAeNpt1VWUU2cYRuHsgxenQt1d8%2F3JOUnqAyR1d%2FcCLQVKO22pu7tQd3d3d3d3d3cXmGzumrWy3pWLs%2FNdPDMpZaWu1783l1Lpf14MnfzO6FbqVupfGkD30iR60JNe9KYP09CXfvRnAAMZxGCGMG3pW6ZjemZgKDMyEzMzC7MyG7MzB3MyF3MzD%2FMyH%2FOzAAuyEAuzCIuyGIuzBGWCRIUqOQU16jRYkqVYmmVYluVYng6GMZwRNGmxAiuyEiuzCquyGquzBmuyFmuzDuuyHuuzARuyERuzCZuyGZuzBVuyFVuzDduyHdszklGMZgd2ZAw7MZZxjGdnJrALu9LJbuzOHkxkT%2FZib%2FZhX%2FZjfw7gQA7iYA7hUA7jcI7gSI7iaI7hWI7jeE7gRE7iZE5hEqdyGqdzBmdyFmdzDudyHudzARdyERdzCZdyGZdzBVdyFVdzDddyHddzAzdyEzdzC7dyG7dzB3dyF3dzD%2FdyH%2FfzAA%2FyEA%2FzCI%2FyGI%2FzBE%2FyFE%2FzDM%2FyHM%2FzAi%2FyEi%2FzCq%2FyGq%2FzBm%2FyFm%2FzDu%2FyHu%2FzAR%2FyER%2FzCZ%2FyGZ%2FzBV%2FyFV%2FzDd%2FyHd%2FzAz%2FyEz%2FzC7%2FyG7%2FzB3%2FyF3%2FzD%2F9mpYwsy7pl3bMeWc%2BsV9Y765NNk%2FXN%2BmX9swHZwGxQNjgb0nPkmInjR0V7Uq%2FOsaPL5Y7ylE3l8tQNN7kVt%2BrmbuHW3LrbcDvam1rtzVvdm50TxrU%2FDBvRtZUY1rV5a3jXFn550Wo%2FXDNWK3dFmh7X9LimxzU9qulRTY9qelTTo5rlKLt2wk7YiaprL%2ByFvbAX9pK9ZC%2FZS%2FaSvWQv2Uv2kr1kr2KvYq9ir2KvYq9ir2KvYq9ir2Kvaq9qr2qvaq9qr2qvaq9qr2qvai%2B3l9vL7eX2cnu5vdxebi%2B3l9sr7BV2CjuFncJOYaewU9gp7NTs1LyrZq9mr2avZq9mr2avZq9mr26vbq9ur26vbq9ur26vbq9ur26vYa9hr2GvYa9hr2GvYa%2FR7oXuQ%2Feh%2B2j%2FUU7e3C3cqc%2FV3fYdof%2FQf%2Bg%2F9B%2F6D%2F2H%2FkP%2Fof%2FQf%2Bg%2F9B%2F6D%2F2H%2FkP%2Fof%2FQf%2Bg%2F9B%2F6D%2F2H%2FkP%2Fof%2FQf%2Bg%2F9B%2F6D%2F2H%2FkP%2Fof%2FQf%2Bg%2F9B%2F6D92H7kP3ofvQfeg%2BdB%2B6D92H7kP3ofvQfRT29B%2F6D%2F2H%2FkP%2Fof%2FQf%2Bg%2F9B%2F6D%2F2H%2FkP%2Fof%2FQf%2Bg%2F9B%2F6D%2F2H%2FkP%2Fof%2FQf%2Bg%2F9B%2F6D%2F2H%2FkP%2Fof%2FQf%2Bg%2F9B%2F6j6nuG3Ya7U5q%2F0hN3nCTW3Grbu4Wrs%2FrP%2Bk%2F6T%2FpP%2Bk%2F6T%2FpP%2Bk%2B6T7pPek86TzpPOk86TzpOuk66TrpOuk66TrpOlWmPu%2F36zrpOuk66TrpOuk66TrpOvl%2FPek76TvpO%2Bk76TvpO%2Bk76TvpO%2Bk76TvpO7V9t%2BqtVs%2FOaOURU6bo6PgPt6rZbwAAAAABVFDDFwAA%29%20format%28%27woff%27%29%2Curl%28data%3Aapplication%2Ffont%2Dsfnt%3Bbase64%2CAAEAAAAPAIAAAwBwRkZUTW0ql9wAAAD8AAAAHEdERUYBRAAEAAABGAAAACBPUy8yZ7lriQAAATgAAABgY21hcNqt44EAAAGYAAAGcmN2dCAAKAL4AAAIDAAAAARnYXNw%2F%2F8AAwAACBAAAAAIZ2x5Zn1dwm8AAAgYAACUpGhlYWQFTS%2FYAACcvAAAADZoaGVhCkQEEQAAnPQAAAAkaG10eNLHIGAAAJ0YAAADdGxvY2Fv%2B5XOAACgjAAAAjBtYXhwAWoA2AAAorwAAAAgbmFtZbMsoJsAAKLcAAADonBvc3S6o%2BU1AACmgAAACtF3ZWJmwxhUUAAAsVQAAAAGAAAAAQAAAADMPaLPAAAAANB2gXUAAAAA0HZzlwABAAAADgAAABgAAAAAAAIAAQABARYAAQAEAAAAAgAAAAMEiwGQAAUABAMMAtAAAABaAwwC0AAAAaQAMgK4AAAAAAUAAAAAAAAAAAAAAAIAAAAAAAAAAAAAAFVLV04AQAAg%2F%2F8DwP8QAAAFFAB7AAAAAQAAAAAAAAAAAAAAIAABAAAABQAAAAMAAAAsAAAACgAAAdwAAQAAAAAEaAADAAEAAAAsAAMACgAAAdwABAGwAAAAaABAAAUAKAAgACsAoAClIAogLyBfIKwgvSISIxsl%2FCYBJvonCScP4APgCeAZ4CngOeBJ4FngYOBp4HngieCX4QnhGeEp4TnhRuFJ4VnhaeF54YnhleGZ4gbiCeIW4hniIeIn4jniSeJZ4mD4%2F%2F%2F%2FAAAAIAAqAKAApSAAIC8gXyCsIL0iEiMbJfwmASb6JwknD%2BAB4AXgEOAg4DDgQOBQ4GDgYuBw4IDgkOEB4RDhIOEw4UDhSOFQ4WDhcOGA4ZDhl%2BIA4gniEOIY4iHiI%2BIw4kDiUOJg%2BP%2F%2F%2F%2F%2Fj%2F9r%2FZv9i4Ajf5N%2B132nfWd4F3P3aHdoZ2SHZE9kOIB0gHCAWIBAgCiAEH%2F4f%2BB%2F3H%2FEf6x%2FlH3wfdh9wH2ofZB9jH10fVx9RH0sfRR9EHt4e3B7WHtUezh7NHsUevx65HrMIFQABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADAAAAAACjAAAAAAAAAA1AAAAIAAAACAAAAADAAAAKgAAACsAAAAEAAAAoAAAAKAAAAAGAAAApQAAAKUAAAAHAAAgAAAAIAoAAAAIAAAgLwAAIC8AAAATAAAgXwAAIF8AAAAUAAAgrAAAIKwAAAAVAAAgvQAAIL0AAAAWAAAiEgAAIhIAAAAXAAAjGwAAIxsAAAAYAAAl%2FAAAJfwAAAAZAAAmAQAAJgEAAAAaAAAm%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%2FAADiUAAA4lkAAAEJAADiYAAA4mAAAAETAAD4%2FwAA%2BP8AAAEUAAH1EQAB9REAAAEVAAH2qgAB9qoAAAEWAAYCCgAAAAABAAABAAAAAAAAAAAAAAAAAAAAAQACAAAAAAAAAAIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQAAAAAAAwAAAAAAAAAAAAAAAAAAAAAAAAAEAAUAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAYAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAVAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEUAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAKAL4AAAAAf%2F%2FAAIAAgAoAAABaAMgAAMABwAusQEALzyyBwQA7TKxBgXcPLIDAgDtMgCxAwAvPLIFBADtMrIHBgH8PLIBAgDtMjMRIRElMxEjKAFA%2Fujw8AMg%2FOAoAtAAAQBkAGQETARMAFsAAAEyFh8BHgEdATc%2BAR8BFgYPATMyFhcWFRQGDwEOASsBFx4BDwEGJi8BFRQGBwYjIiYvAS4BPQEHDgEvASY2PwEjIiYnJjU0Nj8BPgE7AScuAT8BNhYfATU0Njc2AlgPJgsLCg%2BeBxYIagcCB57gChECBgMCAQIRCuCeBwIHaggWB54PCikiDyYLCwoPngcWCGoHAgee4AoRAgYDAgECEQrgngcCB2oIFgeeDwopBEwDAgECEQrgngcCB2oIFgeeDwopIg8mCwsKD54HFghqBwIHnuAKEQIGAwIBAhEK4J4HAgdqCBYHng8KKSIPJgsLCg%2BeBxYIagcCB57gChECBgAAAAABAAAAAARMBEwAIwAAATMyFhURITIWHQEUBiMhERQGKwEiJjURISImPQE0NjMhETQ2AcLIFR0BXhUdHRX%2Boh0VyBUd%2FqIVHR0VAV4dBEwdFf6iHRXIFR3%2BohUdHRUBXh0VyBUdAV4VHQAAAAABAHAAAARABEwARQAAATMyFgcBBgchMhYPAQ4BKwEVITIWDwEOASsBFRQGKwEiJj0BISImPwE%2BATsBNSEiJj8BPgE7ASYnASY2OwEyHwEWMj8BNgM5%2BgoFCP6UBgUBDAoGBngGGAp9ARMKBgZ4BhgKfQ8LlAsP%2Fu0KBgZ4BhgKff7tCgYGeAYYCnYFBv6UCAUK%2BhkSpAgUCKQSBEwKCP6UBgwMCKAIDGQMCKAIDK4LDw8LrgwIoAgMZAwIoAgMDAYBbAgKEqQICKQSAAABAGQABQSMBK4AOwAAATIXFhcjNC4DIyIOAwchByEGFSEHIR4EMzI%2BAzUzBgcGIyInLgEnIzczNjcjNzM%2BATc2AujycDwGtSM0QDkXEys4MjAPAXtk%2FtQGAZZk%2FtQJMDlCNBUWOUA0I64eYmunznYkQgzZZHABBdpkhhQ%2BH3UErr1oaS1LMCEPCx4uTzJkMjJkSnRCKw8PIjBKK6trdZ4wqndkLzVkV4UljQAAAgB7AAAETASwAD4ARwAAASEyHgUVHAEVFA4FKwEHITIWDwEOASsBFRQGKwEiJj0BISImPwE%2BATsBNSEiJj8BPgE7ARE0NhcRMzI2NTQmIwGsAV5DakIwFgwBAQwWMEJqQ7ICASAKBgZ4BhgKigsKlQoP%2FvUKBgZ4BhgKdf71CgYGeAYYCnUPtstALS1ABLAaJD8yTyokCwsLJCpQMkAlGmQMCKAIDK8LDg8KrwwIoAgMZAwIoAgMAdsKD8j%2B1EJWVEAAAAEAyAGQBEwCvAAPAAATITIWHQEUBiMhIiY9ATQ2%2BgMgFR0dFfzgFR0dArwdFcgVHR0VyBUdAAAAAgDIAAAD6ASwACUAQQAAARUUBisBFRQGBx4BHQEzMhYdASE1NDY7ATU0NjcuAT0BIyImPQEXFRQWFx4BFAYHDgEdASE1NCYnLgE0Njc%2BAT0BA%2BgdFTJjUVFjMhUd%2FOAdFTJjUVFjMhUdyEE3HCAgHDdBAZBBNxwgIBw3QQSwlhUdZFuVIyOVW5YdFZaWFR2WW5UjI5VbZB0VlshkPGMYDDI8MgwYYzyWljxjGAwyPDIMGGM8ZAAAAAEAAAAAAAAAAAAAAAAxAAAB%2F%2FIBLATCBEEAFgAAATIWFzYzMhYVFAYjISImNTQ2NyY1NDYB9261LCwueKqqeP0ST3FVQgLYBEF3YQ6teHmtclBFaw4MGZnXAAAAAgAAAGQEsASvABoAHgAAAB4BDwEBMzIWHQEhNTQ2OwEBJyY%2BARYfATc2AyEnAwL2IAkKiAHTHhQe%2B1AeFB4B1IcKCSAkCm9wCXoBebbDBLMTIxC7%2FRYlFSoqFSUC6rcQJBQJEJSWEPwecAIWAAAAAAQAAABkBLAETAALABcAIwA3AAATITIWBwEGIicBJjYXARYUBwEGJjURNDYJATYWFREUBicBJjQHARYGIyEiJjcBNjIfARYyPwE2MhkEfgoFCP3MCBQI%2FcwIBQMBCAgI%2FvgICgoDjAEICAoKCP74CFwBbAgFCvuCCgUIAWwIFAikCBQIpAgUBEwKCP3JCAgCNwgK2v74CBQI%2FvgIBQoCJgoF%2FvABCAgFCv3aCgUIAQgIFID%2BlAgKCggBbAgIpAgIpAgAAAAD%2F%2FD%2F8AS6BLoACQANABAAAAAyHwEWFA8BJzcTAScJAQUTA%2BAmDpkNDWPWXyL9mdYCZv4f%2FrNuBLoNmQ4mDlzWYP50%2FZrWAmb8anABTwAAAAEAAAAABLAEsAAPAAABETMyFh0BITU0NjsBEQEhArz6FR384B0V%2Bv4MBLACiv3aHRUyMhUdAiYCJgAAAAEADgAIBEwEnAAfAAABJTYWFREUBgcGLgE2NzYXEQURFAYHBi4BNjc2FxE0NgFwAoUnMFNGT4gkV09IQv2oWEFPiCRXT0hCHQP5ow8eIvzBN1EXGSltchkYEAIJm%2F2iKmAVGilucRoYEQJ%2FJioAAAACAAn%2F%2BAS7BKcAHQApAAAAMh4CFQcXFAcBFgYPAQYiJwEGIycHIi4CND4BBCIOARQeATI%2BATQmAZDItoNOAQFOARMXARY7GikT%2Fu13jgUCZLaDTk6DAXKwlFZWlLCUVlYEp06DtmQCBY15%2Fu4aJRg6FBQBEk0BAU6Dtsi2g1tWlLCUVlaUsJQAAQBkAFgErwREABkAAAE%2BAh4CFRQOAwcuBDU0PgIeAQKJMHt4dVg2Q3mEqD4%2Bp4V4Qzhadnh5A7VESAUtU3ZAOXmAf7JVVbJ%2FgHk5QHZTLQVIAAAAAf%2FTAF4EewSUABgAAAETNjIXEyEyFgcFExYGJyUFBiY3EyUmNjMBl4MHFQeBAaUVBhH%2BqoIHDxH%2Bqf6qEQ8Hgv6lEQYUAyABYRMT%2Fp8RDPn%2BbxQLDPb3DAsUAZD7DBEAAv%2FTAF4EewSUABgAIgAAARM2MhcTITIWBwUTFgYnJQUGJjcTJSY2MwUjFwc3Fyc3IycBl4MHFQeBAaUVBhH%2BqoIHDxH%2Bqf6qEQ8Hgv6lEQYUAfPwxUrBw0rA6k4DIAFhExP%2BnxEM%2Bf5vFAsM9vcMCxQBkPsMEWSO4ouM5YzTAAABAAAAAASwBLAAJgAAATIWHQEUBiMVFBYXBR4BHQEUBiMhIiY9ATQ2NyU%2BAT0BIiY9ATQ2Alh8sD4mDAkBZgkMDwr7ggoPDAkBZgkMJj6wBLCwfPouaEsKFwbmBRcKXQoPDwpdChcF5gYXCktoLvp8sAAAAA0AAAAABLAETAAPABMAIwAnACsALwAzADcARwBLAE8AUwBXAAATITIWFREUBiMhIiY1ETQ2FxUzNSkBIgYVERQWMyEyNjURNCYzFTM1BRUzNSEVMzUFFTM1IRUzNQchIgYVERQWMyEyNjURNCYFFTM1IRUzNQUVMzUhFTM1GQR%2BCg8PCvuCCg8PVWQCo%2F3aCg8PCgImCg8Pc2T8GGQDIGT8GGQDIGTh%2FdoKDw8KAiYKDw%2F872QDIGT8GGQDIGQETA8K%2B%2BYKDw8KBBoKD2RkZA8K%2FqIKDw8KAV4KD2RkyGRkZGTIZGRkZGQPCv6iCg8PCgFeCg9kZGRkZMhkZGRkAAAEAAAAAARMBEwADwAfAC8APwAAEyEyFhURFAYjISImNRE0NikBMhYVERQGIyEiJjURNDYBITIWFREUBiMhIiY1ETQ2KQEyFhURFAYjISImNRE0NjIBkBUdHRX%2BcBUdHQJtAZAVHR0V%2FnAVHR39vQGQFR0dFf5wFR0dAm0BkBUdHRX%2BcBUdHQRMHRX%2BcBUdHRUBkBUdHRX%2BcBUdHRUBkBUd%2FagdFf5wFR0dFQGQFR0dFf5wFR0dFQGQFR0AAAkAAAAABEwETAAPAB8ALwA%2FAE8AXwBvAH8AjwAAEzMyFh0BFAYrASImPQE0NiEzMhYdARQGKwEiJj0BNDYhMzIWHQEUBisBIiY9ATQ2ATMyFh0BFAYrASImPQE0NiEzMhYdARQGKwEiJj0BNDYhMzIWHQEUBisBIiY9ATQ2ATMyFh0BFAYrASImPQE0NiEzMhYdARQGKwEiJj0BNDYhMzIWHQEUBisBIiY9ATQ2MsgVHR0VyBUdHQGlyBUdHRXIFR0dAaXIFR0dFcgVHR389cgVHR0VyBUdHQGlyBUdHRXIFR0dAaXIFR0dFcgVHR389cgVHR0VyBUdHQGlyBUdHRXIFR0dAaXIFR0dFcgVHR0ETB0VyBUdHRXIFR0dFcgVHR0VyBUdHRXIFR0dFcgVHf5wHRXIFR0dFcgVHR0VyBUdHRXIFR0dFcgVHR0VyBUd%2FnAdFcgVHR0VyBUdHRXIFR0dFcgVHR0VyBUdHRXIFR0ABgAAAAAEsARMAA8AHwAvAD8ATwBfAAATMzIWHQEUBisBIiY9ATQ2KQEyFh0BFAYjISImPQE0NgEzMhYdARQGKwEiJj0BNDYpATIWHQEUBiMhIiY9ATQ2ATMyFh0BFAYrASImPQE0NikBMhYdARQGIyEiJj0BNDYyyBUdHRXIFR0dAaUCvBUdHRX9RBUdHf6FyBUdHRXIFR0dAaUCvBUdHRX9RBUdHf6FyBUdHRXIFR0dAaUCvBUdHRX9RBUdHQRMHRXIFR0dFcgVHR0VyBUdHRXIFR3%2BcB0VyBUdHRXIFR0dFcgVHR0VyBUd%2FnAdFcgVHR0VyBUdHRXIFR0dFcgVHQAAAAABACYALAToBCAAFwAACQE2Mh8BFhQHAQYiJwEmND8BNjIfARYyAdECOwgUB7EICPzxBxUH%2FoAICLEHFAirBxYB3QI7CAixBxQI%2FPAICAGACBQHsQgIqwcAAQBuAG4EQgRCACMAAAEXFhQHCQEWFA8BBiInCQEGIi8BJjQ3CQEmND8BNjIXCQE2MgOIsggI%2FvUBCwgIsggVB%2F70%2FvQHFQiyCAgBC%2F71CAiyCBUHAQwBDAcVBDuzCBUH%2FvT%2B9AcVCLIICAEL%2FvUICLIIFQcBDAEMBxUIsggI%2FvUBDAcAAwAX%2F%2BsExQSZABkAJQBJAAAAMh4CFRQHARYUDwEGIicBBiMiLgI0PgEEIg4BFB4BMj4BNCYFMzIWHQEzMhYdARQGKwEVFAYrASImPQEjIiY9ATQ2OwE1NDYBmcSzgk1OASwICG0HFQj%2B1HeOYrSBTU2BAW%2BzmFhYmLOZWFj%2BvJYKD0sKDw8KSw8KlgoPSwoPDwpLDwSZTYKzYo15%2FtUIFQhsCAgBK01NgbTEs4JNWJmzmFhYmLOZIw8KSw8KlgoPSwoPDwpLDwqWCg9LCg8AAAMAF%2F%2FrBMUEmQAZACUANQAAADIeAhUUBwEWFA8BBiInAQYjIi4CND4BBCIOARQeATI%2BATQmBSEyFh0BFAYjISImPQE0NgGZxLOCTU4BLAgIbQcVCP7Ud45itIFNTYEBb7OYWFiYs5lYWP5YAV4KDw8K%2FqIKDw8EmU2Cs2KNef7VCBUIbAgIAStNTYG0xLOCTViZs5hYWJizmYcPCpYKDw8KlgoPAAAAAAIAFwAXBJkEsAAPAC0AAAEzMhYVERQGKwEiJjURNDYFNRYSFRQOAiIuAjU0EjcVDgEVFB4BMj4BNTQmAiZkFR0dFWQVHR0BD6fSW5vW6tabW9KnZ3xyxejFcnwEsB0V%2FnAVHR0VAZAVHeGmPv7ZuHXWm1tbm9Z1uAEnPqY3yHh0xXJyxXR4yAAEAGQAAASwBLAADwAfAC8APwAAATMyFhURFAYrASImNRE0NgEzMhYVERQGKwEiJjURNDYBMzIWFREUBisBIiY1ETQ2BTMyFh0BFAYrASImPQE0NgQBlgoPDwqWCg8P%2Ft6WCg8PCpYKDw%2F%2B3pYKDw8KlgoPD%2F7elgoPDwqWCg8PBLAPCvuCCg8PCgR%2BCg%2F%2BcA8K%2FRIKDw8KAu4KD%2F7UDwr%2BPgoPDwoBwgoPyA8K%2BgoPDwr6Cg8AAAAAAgAaABsElgSWAEcATwAAATIfAhYfATcWFwcXFh8CFhUUDwIGDwEXBgcnBwYPAgYjIi8CJi8BByYnNycmLwImNTQ%2FAjY%2FASc2Nxc3Nj8CNhIiBhQWMjY0AlghKSYFMS0Fhj0rUAMZDgGYBQWYAQ8YA1AwOIYFLDIFJisfISkmBTEtBYY8LFADGQ0ClwYGlwINGQNQLzqFBS0xBSYreLJ%2BfrJ%2BBJYFmAEOGQJQMDmGBSwxBiYrHiIoJgYxLAWGPSxRAxkOApcFBZcCDhkDUTA5hgUtMAYmKiAhKCYGMC0Fhj0sUAIZDgGYBf6ZfrF%2BfrEABwBkAAAEsAUUABMAFwAhACUAKQAtADEAAAEhMhYdASEyFh0BITU0NjMhNTQ2FxUhNQERFAYjISImNREXETMRMxEzETMRMxEzETMRAfQBLCk7ARMKD%2Fu0DwoBEzspASwBLDsp%2FUQpO2RkZGRkZGRkBRQ7KWQPCktLCg9kKTtkZGT%2B1PzgKTs7KQMgZP1EArz9RAK8%2FUQCvP1EArwAAQAMAAAFCATRAB8AABMBNjIXARYGKwERFAYrASImNREhERQGKwEiJjURIyImEgJsCBUHAmAIBQqvDwr6Cg%2F%2B1A8K%2BgoPrwoFAmoCYAcH%2FaAICv3BCg8PCgF3%2FokKDw8KAj8KAAIAZAAAA%2BgEsAARABcAAAERFBYzIREUBiMhIiY1ETQ2MwEjIiY9AQJYOykBLB0V%2FOAVHR0VA1L6FR0EsP5wKTv9dhUdHRUETBUd%2FnAdFfoAAwAXABcEmQSZAA8AGwAwAAAAMh4CFA4CIi4CND4BBCIOARQeATI%2BATQmBTMyFhURMzIWHQEUBisBIiY1ETQ2AePq1ptbW5vW6tabW1ubAb%2FoxXJyxejFcnL%2BfDIKD68KDw8K%2BgoPDwSZW5vW6tabW1ub1urWmztyxejFcnLF6MUNDwr%2B7Q8KMgoPDwoBXgoPAAAAAAL%2FnAAABRQEsAALAA8AACkBAyMDIQEzAzMDMwEDMwMFFP3mKfIp%2FeYBr9EVohTQ%2Fp4b4BsBkP5wBLD%2B1AEs%2FnD%2B1AEsAAAAAAIAZAAABLAEsAAVAC8AAAEzMhYVETMyFgcBBiInASY2OwERNDYBMzIWFREUBiMhIiY1ETQ2OwEyFh0BITU0NgImyBUdvxQLDf65DSYN%2FrkNCxS%2FHQJUMgoPDwr75goPDwoyCg8DhA8EsB0V%2Fj4XEP5wEBABkBAXAcIVHfzgDwr%2BogoPDwoBXgoPDwqvrwoPAAMAFwAXBJkEmQAPABsAMQAAADIeAhQOAiIuAjQ%2BAQQiDgEUHgEyPgE0JgUzMhYVETMyFgcDBiInAyY2OwERNDYB4%2BrWm1tbm9bq1ptbW5sBv%2BjFcnLF6MVycv58lgoPiRUKDd8NJg3fDQoViQ8EmVub1urWm1tbm9bq1ps7csXoxXJyxejFDQ8K%2Fu0XEP7tEBABExAXARMKDwAAAAMAFwAXBJkEmQAPABsAMQAAADIeAhQOAiIuAjQ%2BAQQiDgEUHgEyPgE0JiUTFgYrAREUBisBIiY1ESMiJjcTNjIB4%2BrWm1tbm9bq1ptbW5sBv%2BjFcnLF6MVycv7n3w0KFYkPCpYKD4kVCg3fDSYEmVub1urWm1tbm9bq1ps7csXoxXJyxejFAf7tEBf%2B7QoPDwoBExcQARMQAAAAAAIAAAAABLAEsAAZADkAABMhMhYXExYVERQGBwYjISImJyY1EzQ3Ez4BBSEiBgcDBhY7ATIWHwEeATsBMjY%2FAT4BOwEyNicDLgHhAu4KEwO6BwgFDBn7tAweAgYBB7kDEwKX%2FdQKEgJXAgwKlgoTAiYCEwr6ChMCJgITCpYKDAJXAhIEsA4K%2FXQYGf5XDB4CBggEDRkBqRkYAowKDsgOC%2F4%2BCw4OCpgKDg4KmAoODgsBwgsOAAMAFwAXBJkEmQAPABsAJwAAADIeAhQOAiIuAjQ%2BAQQiDgEUHgEyPgE0JgUXFhQPAQYmNRE0NgHj6tabW1ub1urWm1tbmwG%2F6MVycsXoxXJy%2Fov9ERH9EBgYBJlbm9bq1ptbW5vW6tabO3LF6MVycsXoxV2%2BDCQMvgwLFQGQFQsAAQAXABcEmQSwACgAAAE3NhYVERQGIyEiJj8BJiMiDgEUHgEyPgE1MxQOAiIuAjQ%2BAjMyA7OHBwsPCv6WCwQHhW2BdMVycsXoxXKWW5vW6tabW1ub1nXABCSHBwQL%2FpYKDwsHhUxyxejFcnLFdHXWm1tbm9bq1ptbAAAAAAIAFwABBJkEsAAaADUAAAE3NhYVERQGIyEiJj8BJiMiDgEVIzQ%2BAjMyEzMUDgIjIicHBiY1ETQ2MyEyFg8BFjMyPgEDs4cHCw8L%2FpcLBAeGboF0xXKWW5vWdcDrllub1nXAnIYHCw8LAWgKBQiFboJ0xXIEJIcHBAv%2BlwsPCweGS3LFdHXWm1v9v3XWm1t2hggFCgFoCw8LB4VMcsUAAAAKAGQAAASwBLAADwAfAC8APwBPAF8AbwB%2FAI8AnwAAEyEyFhURFAYjISImNRE0NgUhIgYVERQWMyEyNjURNCYFMzIWHQEUBisBIiY9ATQ2MyEyFh0BFAYjISImPQE0NgczMhYdARQGKwEiJj0BNDYzITIWHQEUBiMhIiY9ATQ2BzMyFh0BFAYrASImPQE0NjMhMhYdARQGIyEiJj0BNDYHMzIWHQEUBisBIiY9ATQ2MyEyFh0BFAYjISImPQE0Nn0EGgoPDwr75goPDwPA%2FK4KDw8KA1IKDw%2F9CDIKDw8KMgoPD9IBwgoPDwr%2BPgoPD74yCg8PCjIKDw%2FSAcIKDw8K%2Fj4KDw%2B%2BMgoPDwoyCg8P0gHCCg8PCv4%2BCg8PvjIKDw8KMgoPD9IBwgoPDwr%2BPgoPDwSwDwr7ggoPDwoEfgoPyA8K%2FK4KDw8KA1IKD2QPCjIKDw8KMgoPDwoyCg8PCjIKD8gPCjIKDw8KMgoPDwoyCg8PCjIKD8gPCjIKDw8KMgoPDwoyCg8PCjIKD8gPCjIKDw8KMgoPDwoyCg8PCjIKDwAAAAACAAAAAARMBLAAGQAjAAABNTQmIyEiBh0BIyIGFREUFjMhMjY1ETQmIyE1NDY7ATIWHQEDhHVT%2FtRSdmQpOzspA4QpOzsp%2FageFMgUHgMgyFN1dlLIOyn9qCk7OykCWCk7lhUdHRWWAAIAZAAABEwETAAJADcAABMzMhYVESMRNDYFMhcWFREUBw4DIyIuAScuAiMiBwYjIicmNRE%2BATc2HgMXHgIzMjc2fTIKD2QPA8AEBRADIUNAMRwaPyonKSxHHlVLBwgGBQ4WeDsXKC4TOQQpLUUdZ1AHBEwPCvvNBDMKDzACBhH%2BWwYGO1AkDQ0ODg8PDzkFAwcPAbY3VwMCAwsGFAEODg5XCAAAAwAAAAAEsASXACEAMQBBAAAAMh4CFREUBisBIiY1ETQuASAOARURFAYrASImNRE0PgEDMzIWFREUBisBIiY1ETQ2ITMyFhURFAYrASImNRE0NgHk6N6jYw8KMgoPjeT%2B%2BuSNDwoyCg9joyqgCAwMCKAIDAwCYKAIDAwIoAgMDASXY6PedP7UCg8PCgEsf9FyctF%2F%2FtQKDw8KASx03qP9wAwI%2FjQIDAwIAcwIDAwI%2FjQIDAwIAcwIDAAAAAACAAAA0wRHA90AFQA5AAABJTYWFREUBiclJisBIiY1ETQ2OwEyBTc2Mh8BFhQPARcWFA8BBiIvAQcGIi8BJjQ%2FAScmND8BNjIXAUEBAgkMDAn%2B%2FhUZ%2BgoPDwr6GQJYeAcUByIHB3h4BwciBxQHeHgHFAciBwd3dwcHIgcUBwMurAYHCv0SCgcGrA4PCgFeCg%2BEeAcHIgcUB3h4BxQHIgcHd3cHByIHFAd4eAcUByIICAAAAAACAAAA0wNyA90AFQAvAAABJTYWFREUBiclJisBIiY1ETQ2OwEyJTMWFxYVFAcGDwEiLwEuATc2NTQnJjY%2FATYBQQECCQwMCf7%2BFRn6Cg8PCvoZAdIECgZgWgYLAwkHHQcDBkhOBgMIHQcDLqwGBwr9EgoHBqwODwoBXgoPZAEJgaGafwkBAQYXBxMIZ36EaggUBxYFAAAAAAMAAADEBGID7AAbADEASwAAATMWFxYVFAYHBgcjIi8BLgE3NjU0JicmNj8BNgUlNhYVERQGJyUmKwEiJjURNDY7ATIlMxYXFhUUBwYPASIvAS4BNzY1NCcmNj8BNgPHAwsGh0RABwoDCQcqCAIGbzs3BgIJKgf9ggECCQwMCf7%2BFRn6Cg8PCvoZAdIECgZgWgYLAwkHHQcDBkhOBgMIHQcD7AEJs9lpy1QJAQYiBhQIlrJarEcJFAYhBb6sBgcK%2FRIKBwasDg8KAV4KD2QBCYGhmn8JAQEGFwcTCGd%2BhGoIFQYWBQAAAAANAAAAAASwBLAACQAVABkAHQAhACUALQA7AD8AQwBHAEsATwAAATMVIxUhFSMRIQEjFTMVIREjESM1IQURIREhESERBSM1MwUjNTMBMxEhETM1MwEzFSMVIzUjNTM1IzUhBREhEQcjNTMFIzUzASM1MwUhNSEB9GRk%2FnBkAfQCvMjI%2FtTIZAJY%2B7QBLAGQASz84GRkArxkZP1EyP4MyGQB9MhkyGRkyAEs%2FUQBLGRkZAOEZGT%2BDGRkAfT%2B1AEsA4RkZGQCWP4MZMgBLAEsyGT%2B1AEs%2FtQBLMhkZGT%2BDP4MAfRk%2FtRkZGRkyGTI%2FtQBLMhkZGT%2B1GRkZAAAAAAJAAAAAASwBLAAAwAHAAsADwATABcAGwAfACMAADcjETMTIxEzASMRMxMjETMBIxEzASE1IRcjNTMXIzUzBSM1M2RkZMhkZAGQyMjIZGQBLMjI%2FOD%2B1AEsyGRkyGRkASzIyMgD6PwYA%2Bj8GAPo%2FBgD6PwYA%2Bj7UGRkW1tbW1sAAAIAAAAKBKYEsAANABUAAAkBFhQHAQYiJwETNDYzBCYiBhQWMjYB9AKqCAj%2BMAgUCP1WAQ8KAUM7Uzs7UzsEsP1WCBQI%2FjAICAKqAdsKD807O1Q7OwAAAAADAAAACgXSBLAADQAZACEAAAkBFhQHAQYiJwETNDYzIQEWFAcBBiIvAQkBBCYiBhQWMjYB9AKqCAj%2BMAgUCP1WAQ8KAwYCqggI%2FjAIFAg4Aaj9RP7TO1M7O1M7BLD9VggUCP4wCAgCqgHbCg%2F9VggUCP4wCAg4AaoCvM07O1Q7OwAAAAABAGQAAASwBLAAJgAAASEyFREUDwEGJjURNCYjISIPAQYWMyEyFhURFAYjISImNRE0PwE2ASwDOUsSQAgKDwr9RBkSQAgFCgK8Cg8PCvyuCg8SixIEsEv8fBkSQAgFCgO2Cg8SQAgKDwr8SgoPDwoDzxkSixIAAAABAMj%2F%2FwRMBLAACgAAEyEyFhURCQERNDb6AyAVHf4%2B%2Fj4dBLAdFfuCAbz%2BQwR%2FFR0AAAAAAwAAAAAEsASwABUARQBVAAABISIGBwMGHwEeATMhMjY%2FATYnAy4BASMiBg8BDgEjISImLwEuASsBIgYVERQWOwEyNj0BNDYzITIWHQEUFjsBMjY1ETQmASEiBg8BBhYzITI2LwEuAQM2%2FkQLEAFOBw45BhcKAcIKFwY%2BDgdTARABVpYKFgROBBYK%2FdoKFgROBBYKlgoPDwqWCg8PCgLuCg8PCpYKDw%2F%2Bsf4MChMCJgILCgJYCgsCJgITBLAPCv7TGBVsCQwMCWwVGAEtCg%2F%2BcA0JnAkNDQmcCQ0PCv12Cg8PCpYKDw8KlgoPDwoCigoP%2FagOCpgKDg4KmAoOAAAAAAQAAABkBLAETAAdACEAKQAxAAABMzIeAh8BMzIWFREUBiMhIiY1ETQ2OwE%2BBAEVMzUEIgYUFjI2NCQyFhQGIiY0AfTIOF00JAcGlik7Oyn8GCk7OymWAgknM10ByGT%2Bz76Hh76H%2Fu9WPDxWPARMKTs7FRQ7Kf2oKTs7KQJYKTsIG0U1K%2F7UZGRGh76Hh74IPFY8PFYAAAAAAgA1AAAEsASvACAAIwAACQEWFx4BHwEVITUyNi8BIQYHBh4CMxUhNTY3PgE%2FAQEDIQMCqQGBFCgSJQkK%2Fl81LBFS%2Fnk6IgsJKjIe%2FpM4HAwaBwcBj6wBVKIEr%2FwaMioTFQECQkJXLd6RWSIuHAxCQhgcDCUNDQPu%2FVoByQAAAAADAGQAAAPwBLAAJwAyADsAAAEeBhUUDgMjITU%2BATURNC4EJzUFMh4CFRQOAgclMzI2NTQuAisBETMyNjU0JisBAvEFEzUwOyodN1htbDD%2BDCk7AQYLFyEaAdc5dWM%2BHy0tEP6Pi05pESpTPnbYUFJ9Xp8CgQEHGB0zOlIuQ3VONxpZBzMoAzsYFBwLEAkHRwEpSXNDM1s6KwkxYUopOzQb%2FK5lUFqBAAABAMgAAANvBLAAGQAAARcOAQcDBhYXFSE1NjcTNjQuBCcmJzUDbQJTQgeECSxK%2Fgy6Dq0DAw8MHxUXDQYEsDkTNSj8uTEoBmFhEFIDQBEaExAJCwYHAwI5AAAAAAL%2FtQAABRQEsAAlAC8AAAEjNC4FKwERFBYfARUhNTI%2BAzURIyIOBRUjESEFIxEzByczESM3BRQyCAsZEyYYGcgyGRn%2BcAQOIhoWyBkYJhMZCwgyA%2Bj7m0tLfX1LS30DhBUgFQ4IAwH8rhYZAQJkZAEFCRUOA1IBAwgOFSAVASzI%2FOCnpwMgpwACACH%2FtQSPBLAAJQAvAAABIzQuBSsBERQWHwEVITUyPgM1ESMiDgUVIxEhEwc1IRUnNxUhNQRMMggLGRMmGBnIMhkZ%2FnAEDiIaFsgZGCYTGQsIMgPoQ6f84KenAyADhBUgFQ4IAwH9dhYZAQJkZAEFCRUOAooBAwgOFSAVASz7gn1LS319S0sABAAAAAAEsARMAA8AHwAvAD8AABMhMhYdARQGIyEiJj0BNDYTITIWHQEUBiMhIiY9ATQ2EyEyFh0BFAYjISImPQE0NhMhMhYdARQGIyEiJj0BNDYyAlgVHR0V%2FagVHR0VA%2BgVHR0V%2FBgVHR0VAyAVHR0V%2FOAVHR0VBEwVHR0V%2B7QVHR0ETB0VZBUdHRVkFR3%2B1B0VZBUdHRVkFR3%2B1B0VZBUdHRVkFR3%2B1B0VZBUdHRVkFR0ABAAAAAAEsARMAA8AHwAvAD8AABMhMhYdARQGIyEiJj0BNDYDITIWHQEUBiMhIiY9ATQ2EyEyFh0BFAYjISImPQE0NgMhMhYdARQGIyEiJj0BNDb6ArwVHR0V%2FUQVHR2zBEwVHR0V%2B7QVHR3dArwVHR0V%2FUQVHR2zBEwVHR0V%2B7QVHR0ETB0VZBUdHRVkFR3%2B1B0VZBUdHRVkFR3%2B1B0VZBUdHRVkFR3%2B1B0VZBUdHRVkFR0ABAAAAAAEsARMAA8AHwAvAD8AAAE1NDYzITIWHQEUBiMhIiYBNTQ2MyEyFh0BFAYjISImEzU0NjMhMhYdARQGIyEiJgE1NDYzITIWHQEUBiMhIiYB9B0VAlgVHR0V%2FagVHf5wHRUD6BUdHRX8GBUdyB0VAyAVHR0V%2FOAVHf7UHRUETBUdHRX7tBUdA7ZkFR0dFWQVHR3%2B6WQVHR0VZBUdHf7pZBUdHRVkFR0d%2FulkFR0dFWQVHR0AAAQAAAAABLAETAAPAB8ALwA%2FAAATITIWHQEUBiMhIiY9ATQ2EyEyFh0BFAYjISImPQE0NhMhMhYdARQGIyEiJj0BNDYTITIWHQEUBiMhIiY9ATQ2MgRMFR0dFfu0FR0dFQRMFR0dFfu0FR0dFQRMFR0dFfu0FR0dFQRMFR0dFfu0FR0dBEwdFWQVHR0VZBUd%2FtQdFWQVHR0VZBUd%2FtQdFWQVHR0VZBUd%2FtQdFWQVHR0VZBUdAAgAAAAABLAETAAPAB8ALwA%2FAE8AXwBvAH8AABMzMhYdARQGKwEiJj0BNDYpATIWHQEUBiMhIiY9ATQ2ATMyFh0BFAYrASImPQE0NikBMhYdARQGIyEiJj0BNDYBMzIWHQEUBisBIiY9ATQ2KQEyFh0BFAYjISImPQE0NgEzMhYdARQGKwEiJj0BNDYpATIWHQEUBiMhIiY9ATQ2MmQVHR0VZBUdHQFBAyAVHR0V%2FOAVHR3%2B6WQVHR0VZBUdHQFBAyAVHR0V%2FOAVHR3%2B6WQVHR0VZBUdHQFBAyAVHR0V%2FOAVHR3%2B6WQVHR0VZBUdHQFBAyAVHR0V%2FOAVHR0ETB0VZBUdHRVkFR0dFWQVHR0VZBUd%2FtQdFWQVHR0VZBUdHRVkFR0dFWQVHf7UHRVkFR0dFWQVHR0VZBUdHRVkFR3%2B1B0VZBUdHRVkFR0dFWQVHR0VZBUdAAAG%2F5wAAASwBEwAAwATACMAKgA6AEoAACEjETsCMhYdARQGKwEiJj0BNDYTITIWHQEUBiMhIiY9ATQ2BQc1IzUzNQUhMhYdARQGIyEiJj0BNDYTITIWHQEUBiMhIiY9ATQ2AZBkZJZkFR0dFWQVHR0VAfQVHR0V%2FgwVHR3%2B%2BqfIyAHCASwVHR0V%2FtQVHR0VAlgVHR0V%2FagVHR0ETB0VZBUdHRVkFR3%2B1B0VZBUdHRVkFR36fUtkS68dFWQVHR0VZBUd%2FtQdFWQVHR0VZBUdAAAABgAAAAAFFARMAA8AEwAjACoAOgBKAAATMzIWHQEUBisBIiY9ATQ2ASMRMwEhMhYdARQGIyEiJj0BNDYFMxUjFSc3BSEyFh0BFAYjISImPQE0NhMhMhYdARQGIyEiJj0BNDYyZBUdHRVkFR0dA2dkZPyuAfQVHR0V%2FgwVHR0EL8jIp6f75gEsFR0dFf7UFR0dFQJYFR0dFf2oFR0dBEwdFWQVHR0VZBUd%2B7QETP7UHRVkFR0dFWQVHchkS319rx0VZBUdHRVkFR3%2B1B0VZBUdHRVkFR0AAAAAAgAAAMgEsAPoAA8AEgAAEyEyFhURFAYjISImNRE0NgkCSwLuHywsH%2F0SHywsBIT%2B1AEsA%2BgsH%2F12HywsHwKKHyz9RAEsASwAAwAAAAAEsARMAA8AFwAfAAATITIWFREUBiMhIiY1ETQ2FxE3BScBExEEMhYUBiImNCwEWBIaGhL7qBIaGkr3ASpKASXs%2FNJwTk5wTgRMGhL8DBIaGhID9BIaZP0ftoOcAT7%2B4AH0dE5vT09vAAAAAAIA2wAFBDYEkQAWAB4AAAEyHgEVFAcOAQ8BLgQnJjU0PgIWIgYUFjI2NAKIdcZzRkWyNjYJIV5YbSk8RHOft7eCgreCBJF4ynVzj23pPz4IIWZomEiEdVijeUjDgriBgbgAAAACABcAFwSZBJkADwAXAAAAMh4CFA4CIi4CND4BAREiDgEUHgEB4%2BrWm1tbm9bq1ptbW5sBS3TFcnLFBJlbm9bq1ptbW5vW6tab%2FG8DVnLF6MVyAAACAHUAAwPfBQ8AGgA1AAABHgYVFA4DBy4DNTQ%2BBQMOAhceBBcWNj8BNiYnLgInJjc2IyYCKhVJT1dOPiUzVnB9P1SbfEokP0xXUEm8FykoAwEbITEcExUWAgYCCQkFEikMGiACCAgFD0iPdXdzdYdFR4BeRiYEBTpjl1lFh3ZzeHaQ%2Ff4hS4I6JUEnIw4IBwwQIgoYBwQQQSlZtgsBAAAAAwAAAAAEywRsAAwAKgAvAAABNz4CHgEXHgEPAiUhMhcHISIGFREUFjMhMjY9ATcRFAYjISImNRE0NgkBBzcBA%2BhsAgYUFR0OFgoFBmz9BQGQMje7%2FpApOzspAfQpO8i7o%2F5wpbm5Azj%2BlqE3AWMD9XMBAgIEDw4WKgsKc8gNuzsp%2FgwpOzsptsj%2BtKW5uaUBkKW5%2Ftf%2BljKqAWMAAgAAAAAEkwRMABsANgAAASEGByMiBhURFBYzITI2NTcVFAYjISImNRE0NgUBFhQHAQYmJzUmDgMHPgY3NT4BAV4BaaQ0wyk7OykB9Ck7yLml%2FnClubkCfwFTCAj%2BrAcLARo5ZFRYGgouOUlARioTAQsETJI2Oyn%2BDCk7OymZZ6W5uaUBkKW5G%2F7TBxUH%2Fs4GBAnLAQINFjAhO2JBNB0UBwHSCgUAAAAAAgAAAAAEnQRMAB0ANQAAASEyFwchIgYVERQWMyEyNj0BNxUUBiMhIiY1ETQ2CQE2Mh8BFhQHAQYiLwEmND8BNjIfARYyAV4BXjxDsv6jKTs7KQH0KTvIuaX%2BcKW5uQHKAYsHFQdlBwf97QcVB%2FgHB2UHFQdvCBQETBexOyn%2BDCk7OylFyNulubmlAZCluf4zAYsHB2UHFQf97AcH%2BAcVB2UHB28HAAAAAQAKAAoEpgSmADsAAAkBNjIXARYGKwEVMzU0NhcBFhQHAQYmPQEjFTMyFgcBBiInASY2OwE1IxUUBicBJjQ3ATYWHQEzNSMiJgE%2BAQgIFAgBBAcFCqrICggBCAgI%2FvgICsiqCgUH%2FvwIFAj%2B%2BAgFCq%2FICgj%2B%2BAgIAQgICsivCgUDlgEICAj%2B%2BAgKyK0KBAf%2B%2FAcVB%2F73BwQKrcgKCP74CAgBCAgKyK0KBAcBCQcVBwEEBwQKrcgKAAEAyAAAA4QETAAZAAATMzIWFREBNhYVERQGJwERFAYrASImNRE0NvpkFR0B0A8VFQ%2F%2BMB0VZBUdHQRMHRX%2BSgHFDggV%2FBgVCA4Bxf5KFR0dFQPoFR0AAAABAAAAAASwBEwAIwAAEzMyFhURATYWFREBNhYVERQGJwERFAYnAREUBisBIiY1ETQ2MmQVHQHQDxUB0A8VFQ%2F%2BMBUP%2FjAdFWQVHR0ETB0V%2FkoBxQ4IFf5KAcUOCBX8GBUIDgHF%2FkoVCA4Bxf5KFR0dFQPoFR0AAAABAJ0AGQSwBDMAFQAAAREUBicBERQGJwEmNDcBNhYVEQE2FgSwFQ%2F%2BMBUP%2FhQPDwHsDxUB0A8VBBr8GBUIDgHF%2FkoVCA4B4A4qDgHgDggV%2FkoBxQ4IAAAAAQDIABYEMwQ2AAsAABMBFhQHAQYmNRE0NvMDLhIS%2FNISGRkEMv4OCx4L%2Fg4LDhUD6BUOAAIAyABkA4QD6AAPAB8AABMzMhYVERQGKwEiJjURNDYhMzIWFREUBisBIiY1ETQ2%2BsgVHR0VyBUdHQGlyBUdHRXIFR0dA%2BgdFfzgFR0dFQMgFR0dFfzgFR0dFQMgFR0AAAEAyABkBEwD6AAPAAABERQGIyEiJjURNDYzITIWBEwdFfzgFR0dFQMgFR0DtvzgFR0dFQMgFR0dAAAAAAEAAAAZBBMEMwAVAAABETQ2FwEWFAcBBiY1EQEGJjURNDYXAfQVDwHsDw%2F%2BFA8V%2FjAPFRUPAmQBthUIDv4gDioO%2FiAOCBUBtv47DggVA%2BgVCA4AAAH%2F%2FgACBLMETwAjAAABNzIWFRMUBiMHIiY1AwEGJjUDAQYmNQM0NhcBAzQ2FwEDNDYEGGQUHgUdFWQVHQL%2BMQ4VAv4yDxUFFQ8B0gIVDwHSAh0ETgEdFfwYFR0BHRUBtf46DwkVAbX%2BOQ4JFAPoFQkP%2Fj4BthQJDv49AbYVHQAAAQEsAAAD6ARMABkAAAEzMhYVERQGKwEiJjURAQYmNRE0NhcBETQ2A1JkFR0dFWQVHf4wDxUVDwHQHQRMHRX8GBUdHRUBtv47DggVA%2BgVCA7%2BOwG2FR0AAAIAZADIBLAESAALABsAAAkBFgYjISImNwE2MgEhMhYdARQGIyEiJj0BNDYCrgH1DwkW%2B%2B4WCQ8B9Q8q%2FfcD6BUdHRX8GBUdHQQ5%2FeQPFhYPAhwP%2FUgdFWQVHR0VZBUdAAEAiP%2F8A3UESgAFAAAJAgcJAQN1%2FqABYMX92AIoA4T%2Bn%2F6fxgIoAiYAAAAAAQE7%2F%2FwEKARKAAUAAAkBJwkBNwQo%2FdnGAWH%2Bn8YCI%2F3ZxgFhAWHGAAIAFwAXBJkEmQAPADMAAAAyHgIUDgIiLgI0PgEFIyIGHQEjIgYdARQWOwEVFBY7ATI2PQEzMjY9ATQmKwE1NCYB4%2BrWm1tbm9bq1ptbW5sBfWQVHZYVHR0Vlh0VZBUdlhUdHRWWHQSZW5vW6tabW1ub1urWm7odFZYdFWQVHZYVHR0Vlh0VZBUdlhUdAAAAAAIAFwAXBJkEmQAPAB8AAAAyHgIUDgIiLgI0PgEBISIGHQEUFjMhMjY9ATQmAePq1ptbW5vW6tabW1ubAkX%2BDBUdHRUB9BUdHQSZW5vW6tabW1ub1urWm%2F5%2BHRVkFR0dFWQVHQACABcAFwSZBJkADwAzAAAAMh4CFA4CIi4CND4BBCIPAScmIg8BBhQfAQcGFB8BFjI%2FARcWMj8BNjQvATc2NC8BAePq1ptbW5vW6tabW1ubAeUZCXh4CRkJjQkJeHgJCY0JGQl4eAkZCY0JCXh4CQmNBJlbm9bq1ptbW5vW6tabrQl4eAkJjQkZCXh4CRkJjQkJeHgJCY0JGQl4eAkZCY0AAgAXABcEmQSZAA8AJAAAADIeAhQOAiIuAjQ%2BAQEnJiIPAQYUHwEWMjcBNjQvASYiBwHj6tabW1ub1urWm1tbmwEVVAcVCIsHB%2FIHFQcBdwcHiwcVBwSZW5vW6tabW1ub1urWm%2F4xVQcHiwgUCPEICAF3BxUIiwcHAAAAAAMAFwAXBJkEmQAPADsASwAAADIeAhQOAiIuAjQ%2BAQUiDgMVFDsBFjc%2BATMyFhUUBgciDgUHBhY7ATI%2BAzU0LgMTIyIGHQEUFjsBMjY9ATQmAePq1ptbW5vW6tabW1ubAT8dPEIyIRSDHgUGHR8UFw4TARkOGhITDAIBDQ6tBx4oIxgiM0Q8OpYKDw8KlgoPDwSZW5vW6tabW1ub1urWm5ELHi9PMhkFEBQQFRIXFgcIBw4UHCoZCBEQKDhcNi9IKhsJ%2FeMPCpYKDw8KlgoPAAADABcAFwSZBJkADwAfAD4AAAAyHgIUDgIiLgI0PgEFIyIGHQEUFjsBMjY9ATQmAyMiBh0BFBY7ARUjIgYdARQWMyEyNj0BNCYrARE0JgHj6tabW1ub1urWm1tbmwGWlgoPDwqWCg8PCvoKDw8KS0sKDw8KAV4KDw8KSw8EmVub1urWm1tbm9bq1ptWDwqWCg8PCpYKD%2F7UDwoyCg%2FIDwoyCg8PCjIKDwETCg8AAgAAAAAEsASwAC8AXwAAATMyFh0BHgEXMzIWHQEUBisBDgEHFRQGKwEiJj0BLgEnIyImPQE0NjsBPgE3NTQ2ExUUBisBIiY9AQ4BBzMyFh0BFAYrAR4BFzU0NjsBMhYdAT4BNyMiJj0BNDY7AS4BAg2WCg9nlxvCCg8PCsIbl2cPCpYKD2eXG8IKDw8KwhuXZw%2B5DwqWCg9EZheoCg8PCqgXZkQPCpYKD0RmF6gKDw8KqBdmBLAPCsIbl2cPCpYKD2eXG8IKDw8KwhuXZw8KlgoPZ5cbwgoP%2Fs2oCg8PCqgXZkQPCpYKD0RmF6gKDw8KqBdmRA8KlgoPRGYAAwAXABcEmQSZAA8AGwA%2FAAAAMh4CFA4CIi4CND4BBCIOARQeATI%2BATQmBxcWFA8BFxYUDwEGIi8BBwYiLwEmND8BJyY0PwE2Mh8BNzYyAePq1ptbW5vW6tabW1ubAb%2FoxXJyxejFcnKaQAcHfHwHB0AHFQd8fAcVB0AHB3x8BwdABxUHfHwHFQSZW5vW6tabW1ub1urWmztyxejFcnLF6MVaQAcVB3x8BxUHQAcHfHwHB0AHFQd8fAcVB0AHB3x8BwAAAAMAFwAXBJkEmQAPABsAMAAAADIeAhQOAiIuAjQ%2BAQQiDgEUHgEyPgE0JgcXFhQHAQYiLwEmND8BNjIfATc2MgHj6tabW1ub1urWm1tbmwG%2F6MVycsXoxXJyg2oHB%2F7ACBQIyggIagcVB0%2FFBxUEmVub1urWm1tbm9bq1ps7csXoxXJyxejFfWoHFQf%2BvwcHywcVB2oICE%2FFBwAAAAMAFwAXBJkEmQAPABgAIQAAADIeAhQOAiIuAjQ%2BAQUiDgEVFBcBJhcBFjMyPgE1NAHj6tabW1ub1urWm1tbmwFLdMVyQQJLafX9uGhzdMVyBJlbm9bq1ptbW5vW6tabO3LFdHhpAktB0P24PnLFdHMAAAAAAQAXAFMEsAP5ABUAABMBNhYVESEyFh0BFAYjIREUBicBJjQnAgoQFwImFR0dFf3aFxD99hACRgGrDQoV%2Ft0dFcgVHf7dFQoNAasNJgAAAAABAAAAUwSZA%2FkAFQAACQEWFAcBBiY1ESEiJj0BNDYzIRE0NgJ%2FAgoQEP32EBf92hUdHRUCJhcD8f5VDSYN%2FlUNChUBIx0VyBUdASMVCgAAAAEAtwAABF0EmQAVAAAJARYGIyERFAYrASImNREhIiY3ATYyAqoBqw0KFf7dHRXIFR3%2B3RUKDQGrDSYEif32EBf92hUdHRUCJhcQAgoQAAAAAQC3ABcEXQSwABUAAAEzMhYVESEyFgcBBiInASY2MyERNDYCJsgVHQEjFQoN%2FlUNJg3%2BVQ0KFQEjHQSwHRX92hcQ%2FfYQEAIKEBcCJhUdAAABAAAAtwSZBF0AFwAACQEWFAcBBiY1EQ4DBz4ENxE0NgJ%2FAgoQEP32EBdesKWBJAUsW4fHfhcEVf5VDSYN%2FlUNChUBIwIkRHVNabGdcUYHAQYVCgACAAAAAASwBLAAFQArAAABITIWFREUBi8BBwYiLwEmND8BJyY2ASEiJjURNDYfATc2Mh8BFhQPARcWBgNSASwVHRUOXvkIFAhqBwf5Xg4I%2FiH%2B1BUdFQ5e%2BQgUCGoHB%2FleDggEsB0V%2FtQVCA5e%2BQcHaggUCPleDhX7UB0VASwVCA5e%2BQcHaggUCPleDhUAAAACAEkASQRnBGcAFQArAAABFxYUDwEXFgYjISImNRE0Nh8BNzYyASEyFhURFAYvAQcGIi8BJjQ%2FAScmNgP2agcH%2BV4OCBX%2B1BUdFQ5e%2BQgU%2FQwBLBUdFQ5e%2BQgUCGoHB%2FleDggEYGoIFAj5Xg4VHRUBLBUIDl75B%2F3xHRX%2B1BUIDl75BwdqCBQI%2BV4OFQAAAAADABcAFwSZBJkADwAfAC8AAAAyHgIUDgIiLgI0PgEFIyIGFxMeATsBMjY3EzYmAyMiBh0BFBY7ATI2PQE0JgHj6tabW1ub1urWm1tbmwGz0BQYBDoEIxQ2FCMEOgQYMZYKDw8KlgoPDwSZW5vW6tabW1ub1urWm7odFP7SFB0dFAEuFB3%2BDA8KlgoPDwqWCg8AAAAABQAAAAAEsASwAEkAVQBhAGgAbwAAATIWHwEWHwEWFxY3Nj8BNjc2MzIWHwEWHwIeATsBMhYdARQGKwEiBh0BIREjESE1NCYrASImPQE0NjsBMjY1ND8BNjc%2BBAUHBhY7ATI2LwEuAQUnJgYPAQYWOwEyNhMhIiY1ESkBERQGIyERAQQJFAUFFhbEFQ8dCAsmxBYXERUXMA0NDgQZCAEPCj0KDw8KMgoP%2FnDI%2FnAPCjIKDw8KPQsOCRkFDgIGFRYfAp2mBwQK2woKAzMDEP41sQgQAzMDCgrnCwMe%2FokKDwGQAlgPCv6JBLAEAgIKDXYNCxUJDRZ2DQoHIREQFRh7LAkLDwoyCg8PCq8BLP7UrwoPDwoyCg8GBQQwgBkUAwgWEQ55ogcKDgqVCgSqnQcECo8KDgr8cg8KAXf%2BiQoPAZAAAAAAAgAAAAwErwSmACsASQAAATYWFQYCDgQuAScmByYOAQ8BBiY1NDc%2BATc%2BAScuAT4BNz4GFyYGBw4BDwEOBAcOARY2Nz4CNz4DNz4BBI0IGgItQmxhi2KORDg9EQQRMxuZGhYqCFUYEyADCQIQOjEnUmFch3vAJQgdHyaiPT44XHRZUhcYDhItIRmKcVtGYWtbKRYEBKYDEwiy%2Ft3IlVgxEQgLCwwBAQIbG5kYEyJAJghKFRE8Hzdff4U%2FM0o1JSMbL0QJGCYvcSEhHjZST2c1ODwEJygeW0AxJUBff1UyFAABAF0AHgRyBM8ATwAAAQ4BHgQXLgc%2BATceAwYHDgQHBicmNzY3PgQuAScWDgMmJy4BJyY%2BBDcGHgM3PgEuAicmPgMCjScfCic4R0IgBBsKGAoQAwEJEg5gikggBhANPkpTPhZINx8SBgsNJysiCRZOQQoVNU1bYC9QZwICBAUWITsoCAYdJzIYHw8YIiYHDyJJYlkEz0OAZVxEOSQMBzgXOB42IzElKRIqg5Gnl0o3Z0c6IAYWCwYNAwQFIDhHXGF1OWiqb0sdBxUknF0XNTQ8PEUiNWNROBYJDS5AQVUhVZloUSkAAAAAA%2F%2FcAGoE1ARGABsAPwBRAAAAMh4FFA4FIi4FND4EBSYGFxYVFAYiJjU0NzYmBwYHDgEXHgQyPgM3NiYnJgUHDgEXFhcWNj8BNiYnJicuAQIGpJ17bk85HBw6T257naKde25POhwcOU9uewIPDwYIGbD4sBcIBw5GWg0ECxYyWl%2BDiINfWjIWCwQMWv3%2FIw8JCSU4EC0OIw4DDywtCyIERi1JXGJcSSpJXGJcSS0tSVxiXEkqSVxiXEncDwYTOT58sLB8OzcTBg9FcxAxEiRGXkQxMEVeRSQSMRF1HiQPLxJEMA0EDyIPJQ8sSRIEAAAABP%2FcAAAE1ASwABQAJwA7AEwAACEjNy4ENTQ%2BBTMyFzczEzceARUUDgMHNz4BNzYmJyYlBgcOARceBBc3LgE1NDc2JhcHDgEXFhcWNj8CJyYnLgECUJQfW6l2WSwcOU9ue51SPUEglCYvbIknUGqYUi5NdiYLBAw2%2FVFGWg0ECxIqSExoNSlrjxcIB3wjDwkJJTgQLQ4MFgMsLQsieBRhdHpiGxVJXGJcSS0Pef5StVXWNBpacm5jGq0xiD8SMRFGckVzEDESHjxRQTkNmhKnbjs3EwZwJA8vEkQwDQQPC1YELEkSBAAAAAP%2FngAABRIEqwALABgAKAAAJwE2FhcBFgYjISImJSE1NDY7ATIWHQEhAQczMhYPAQ4BKwEiJi8BJjZaAoIUOBQCghUbJfryJRsBCgFZDwqWCg8BWf5DaNAUGAQ6BCMUNhQjBDoEGGQEKh8FIfvgIEdEhEsKDw8KSwLT3x0U%2FBQdHRT8FB0AAAABAGQAFQSwBLAAKAAAADIWFREBHgEdARQGJyURFh0BFAYvAQcGJj0BNDcRBQYmPQE0NjcBETQCTHxYAWsPFhgR%2FplkGhPNzRMaZP6ZERgWDwFrBLBYPv6t%2FrsOMRQpFA0M%2Bf75XRRAFRAJgIAJEBVAFF0BB%2FkMDRQpFDEOAUUBUz4AAAARAAAAAARMBLAAHQAnACsALwAzADcAOwA%2FAEMARwBLAE8AUwBXAFsAXwBjAAABMzIWHQEzMhYdASE1NDY7ATU0NjsBMhYdASE1NDYBERQGIyEiJjURFxUzNTMVMzUzFTM1MxUzNTMVMzUFFTM1MxUzNTMVMzUzFTM1MxUzNQUVMzUzFTM1MxUzNTMVMzUzFTM1A1JkFR0yFR37tB0VMh0VZBUdAfQdAQ8dFfwYFR1kZGRkZGRkZGRk%2FHxkZGRkZGRkZGT8fGRkZGRkZGRkZASwHRUyHRWWlhUdMhUdHRUyMhUd%2FnD9EhUdHRUC7shkZGRkZGRkZGRkyGRkZGRkZGRkZGTIZGRkZGRkZGRkZAAAAAMAAAAZBXcElwAZACUANwAAARcWFA8BBiY9ASMBISImPQE0NjsBATM1NDYBBycjIiY9ATQ2MyEBFxYUDwEGJj0BIyc3FzM1NDYEb%2FkPD%2FkOFZ%2F9qP7dFR0dFdECWPEV%2FamNetEVHR0VASMDGvkPD%2FkOFfG1jXqfFQSN5g4qDuYOCBWW%2FagdFWQVHQJYlhUI%2FpiNeh0VZBUd%2Fk3mDioO5g4IFZa1jXqWFQgAAAABAAAAAASwBEwAEgAAEyEyFhURFAYjIQERIyImNRE0NmQD6Ck7Oyn9rP7QZCk7OwRMOyn9qCk7%2FtQBLDspAlgpOwAAAAMAZAAABEwEsAAJABMAPwAAEzMyFh0BITU0NiEzMhYdASE1NDYBERQOBSIuBTURIRUUFRwBHgYyPgYmNTQ9AZbIFR3%2B1B0C0cgVHf7UHQEPBhgoTGacwJxmTCgYBgEsAwcNFB8nNkI2Jx8TDwUFAQSwHRX6%2BhUdHRX6%2BhUd%2FnD%2B1ClJalZcPigoPlxWakkpASz6CRIVKyclIRsWEAgJEBccISUnKhURCPoAAAAB%2F%2F8A1ARMA8IABQAAAQcJAScBBEzG%2Fp%2F%2Bn8UCJwGbxwFh%2Fp%2FHAicAAQAAAO4ETQPcAAUAAAkCNwkBBE392v3ZxgFhAWEDFf3ZAifH%2Fp8BYQAAAAAC%2F1EAZAVfA%2BgAFAApAAABITIWFREzMhYPAQYiLwEmNjsBESElFxYGKwERIRchIiY1ESMiJj8BNjIBlALqFR2WFQgO5g4qDuYOCBWW%2FoP%2BHOYOCBWWAYHX%2FRIVHZYVCA7mDioD6B0V%2FdkVDvkPD%2FkOFQGRuPkOFf5wyB0VAiYVDvkPAAABAAYAAASeBLAAMAAAEzMyFh8BITIWBwMOASMhFyEyFhQGKwEVFAYiJj0BIRUUBiImPQEjIiYvAQMjIiY0NjheERwEJgOAGB4FZAUsIf2HMAIXFR0dFTIdKh3%2B1B0qHR8SHQYFyTYUHh4EsBYQoiUY%2FiUVK8gdKh0yFR0dFTIyFR0dFTIUCQoDwR0qHQAAAAACAAAAAASwBEwACwAPAAABFSE1MzQ2MyEyFhUFIREhBLD7UMg7KQEsKTv9RASw%2B1AD6GRkKTs7Kcj84AACAAAAAAXcBEwADAAQAAATAxEzNDYzITIWFSEVBQEhAcjIyDspASwqOgH0ASz%2B1PtQASwDIP5wAlgpOzspyGT9RAK8AAEBRQAAA2sErwAbAAABFxYGKwERMzIWDwEGIi8BJjY7AREjIiY%2FATYyAnvmDggVlpYVCA7mDioO5g4IFZaWFQgO5g4qBKD5DhX9pxUO%2BQ8P%2BQ4VAlkVDvkPAAAAAQABAUQErwNrABsAAAEXFhQPAQYmPQEhFRQGLwEmND8BNhYdASE1NDYDqPkODvkPFf2oFQ%2F5Dg75DxUCWBUDYOUPKQ%2FlDwkUl5cUCQ%2FlDykP5Q8JFZWVFQkAAAAEAAAAAASwBLAACQAZAB0AIQAAAQMuASMhIgYHAwUhIgYdARQWMyEyNj0BNCYFNTMVMzUzFQSRrAUkFP1gFCQFrAQt%2FBgpOzspA%2BgpOzv%2Bq2RkZAGQAtwXLSgV%2FR1kOylkKTs7KWQpO8hkZGRkAAAAA%2F%2BcAGQEsARMAAsAIwAxAAAAMhYVERQGIiY1ETQDJSMTFgYjIisBIiYnAj0BNDU0PgE7ASUBFSIuAz0BND4CNwRpKh0dKh1k%2FV0mLwMRFQUCVBQdBDcCCwzIAqP8GAQOIhoWFR0dCwRMHRX8rhUdHRUDUhX8mcj%2B7BAIHBUBUQ76AgQQDw36%2FtT6AQsTKRwyGigUDAEAAAACAEoAAARmBLAALAA1AAABMzIWDwEeARcTFzMyFhQGBw4EIyIuBC8BLgE0NjsBNxM%2BATcnJjYDFjMyNw4BIiYCKV4UEgYSU3oPP3YRExwaEggeZGqfTzl0XFU%2BLwwLEhocExF2Pw96UxIGEyQyNDUxDDdGOASwFRMlE39N%2FrmtHSkoBwQLHBYSCg4REg4FBAgoKR2tAUdNfhQgExr7vgYGMT09AAEAFAAUBJwEnAAXAAABNwcXBxcHFycHJwcnBzcnNyc3Jxc3FzcDIOBO6rS06k7gLZubLeBO6rS06k7gLZubA7JO4C2bmy3gTuq0tOpO4C2bmy3gTuq0tAADAAAAZASwBLAAIQAtAD0AAAEzMhYdAQchMhYdARQHAw4BKwEiJi8BIyImNRE0PwI%2BARcPAREzFzMTNSE3NQEzMhYVERQGKwEiJjURNDYCijIoPBwBSCg8He4QLBf6B0YfHz0tNxSRYA0xG2SWZIjW%2Bv4%2BMv12ZBUdHRVkFR0dBLBRLJZ9USxkLR3%2BqBghMhkZJCcBkCQbxMYcKGTU1f6JZAF3feGv%2FtQdFf4MFR0dFQH0FR0AAAAAAwAAAAAEsARMACAAMAA8AAABMzIWFxMWHQEUBiMhFh0BFAYrASImLwImNRE0NjsBNgUzMhYVERQGKwEiJjURNDYhByMRHwEzNSchNQMCWPoXLBDuHTwo%2FrgcPCgyGzENYJEUNy09fP3pZBUdHRVkFR0dAl%2BIZJZkMjIBwvoETCEY%2FqgdLWQsUXYHlixRKBzGxBskAZAnJGRkHRX%2BDBUdHRUB9BUdZP6J1dSv4X0BdwADAAAAZAUOBE8AGwA3AEcAAAElNh8BHgEPASEyFhQGKwEDDgEjISImNRE0NjcXERchEz4BOwEyNiYjISoDLgQnJj8BJwUzMhYVERQGKwEiJjURNDYBZAFrHxZuDQEMVAEuVGxuVGqDBhsP%2FqoHphwOOmQBJYMGGw%2FLFRMSFv44AgoCCQMHAwUDAQwRklb9T2QVHR0VZBUdHQNp5hAWcA0mD3lMkE7%2BrRUoog0CDRElCkj%2BCVkBUxUoMjIBAgIDBQIZFrdT5B0V%2FgwVHR0VAfQVHQAAAAP%2FnABkBLAETwAdADYARgAAAQUeBBURFAYjISImJwMjIiY0NjMhJyY2PwE2BxcWBw4FKgIjIRUzMhYXEyE3ESUFMzIWFREUBisBIiY1ETQ2AdsBbgIIFBANrAf%2Bqg8bBoNqVW1sVAEuVQsBDW4WSpIRDAIDBQMHAwkDCgH%2BJd0PHAaCASZq%2FqoCUGQVHR0VZBUdHQRP5gEFEBEXC%2F3zDaIoFQFTTpBMeQ8mDXAWrrcWGQIFAwICAWQoFf6tWQH37OQdFf4MFR0dFQH0FR0AAAADAGEAAARMBQ4AGwA3AEcAAAAyFh0BBR4BFREUBiMhIiYvAQMmPwE%2BAR8BETQXNTQmBhURHAMOBAcGLwEHEyE3ESUuAQMhMhYdARQGIyEiJj0BNDYB3pBOAVMVKKIN%2FfMRJQoJ5hAWcA0mD3nGMjIBAgIDBQIZFrdT7AH3Wf6tFSiWAfQVHR0V%2FgwVHR0FDm5UaoMGGw%2F%2BqgemHA4OAWsfFm4NAQxUAS5U1ssVExIW%2FjgCCgIJAwcDBQMBDBGSVv6tZAElgwYb%2FQsdFWQVHR0VZBUdAAP%2F%2FQAGA%2BgFFAAPAC0ASQAAASEyNj0BNCYjISIGHQEUFgEVFAYiJjURBwYmLwEmNxM%2BBDMhMhYVERQGBwEDFzc2Fx4FHAIVERQWNj0BNDY3JREnAV4B9BUdHRX%2BDBUdHQEPTpBMeQ8mDXAWEOYBBRARFwsCDQ2iKBX9iexTtxYZAgUDAgIBMjIoFQFTWQRMHRVkFR0dFWQVHfzmalRubFQBLlQMAQ1uFh8BawIIEw8Mpgf%2Bqg8bBgHP%2Fq1WkhEMAQMFAwcDCQIKAv44FhITFcsPGwaDASVkAAIAFgAWBJoEmgAPACUAAAAyHgIUDgIiLgI0PgEBJSYGHQEhIgYdARQWMyEVFBY3JTY0AeLs1ptbW5vW7NabW1ubAob%2B7RAX%2Fu0KDw8KARMXEAETEASaW5vW7NabW1ub1uzWm%2F453w0KFYkPCpYKD4kVCg3fDSYAAAIAFgAWBJoEmgAPACUAAAAyHgIUDgIiLgI0PgENAQYUFwUWNj0BITI2PQE0JiMhNTQmAeLs1ptbW5vW7NabW1ubASX%2B7RAQARMQFwETCg8PCv7tFwSaW5vW7NabW1ub1uzWm%2BjfDSYN3w0KFYkPCpYKD4kVCgAAAAIAFgAWBJoEmgAPACUAAAAyHgIUDgIiLgI0PgEBAyYiBwMGFjsBERQWOwEyNjURMzI2AeLs1ptbW5vW7NabW1ubAkvfDSYN3w0KFYkPCpYKD4kVCgSaW5vW7NabW1ub1uzWm%2F5AARMQEP7tEBf%2B7QoPDwoBExcAAAIAFgAWBJoEmgAPACUAAAAyHgIUDgIiLgI0PgEFIyIGFREjIgYXExYyNxM2JisBETQmAeLs1ptbW5vW7NabW1ubAZeWCg%2BJFQoN3w0mDd8NChWJDwSaW5vW7NabW1ub1uzWm7sPCv7tFxD%2B7RAQARMQFwETCg8AAAMAGAAYBJgEmAAPAJYApgAAADIeAhQOAiIuAjQ%2BASUOAwcGJgcOAQcGFgcOAQcGFgcUFgcyHgEXHgIXHgI3Fg4BFx4CFxQGFBcWNz4CNy4BJy4BJyIOAgcGJyY2NS4BJzYuAQYHBicmNzY3HgIXHgMfAT4CJyY%2BATc%2BAzcmNzIWMjY3LgMnND4CJiceAT8BNi4CJwYHFB4BFS4CJz4BNxYyPgEB5OjVm1xcm9Xo1ZtcXJsBZA8rHDoKDz0PFD8DAxMBAzEFCRwGIgEMFhkHECIvCxU%2FOR0HFBkDDRQjEwcFaHUeISQDDTAMD0UREi4oLBAzDwQBBikEAQMLGhIXExMLBhAGKBsGBxYVEwYFAgsFAwMNFwQGCQcYFgYQCCARFwkKKiFBCwQCAQMDHzcLDAUdLDgNEiEQEgg%2FKhADGgMKEgoRBJhcm9Xo1ZtcXJvV6NWbEQwRBwkCAwYFBycPCxcHInIWInYcCUcYChQECA4QBAkuHgQPJioRFRscBAcSCgwCch0kPiAIAQcHEAsBAgsLIxcBMQENCQIPHxkCFBkdHB4QBgEBBwoMGBENBAMMJSAQEhYXDQ4qFBkKEhIDCQsXJxQiBgEOCQwHAQ0DBAUcJAwSCwRnETIoAwEJCwsLJQcKDBEAAAAAAQAAAAIErwSFABYAAAE2FwUXNxYGBw4BJwEGIi8BJjQ3ASY2AvSkjv79kfsGUE08hjv9rA8rD28PDwJYIk8EhVxliuh%2BWYcrIgsW%2FawQEG4PKxACV2XJAAYAAABgBLAErAAPABMAIwAnADcAOwAAEyEyFh0BFAYjISImPQE0NgUjFTMFITIWHQEUBiMhIiY9ATQ2BSEVIQUhMhYdARQGIyEiJj0BNDYFIRUhZAPoKTs7KfwYKTs7BBHIyPwYA%2BgpOzsp%2FBgpOzsEEf4MAfT8GAPoKTs7KfwYKTs7BBH%2B1AEsBKw7KWQpOzspZCk7ZGTIOylkKTs7KWQpO2RkyDspZCk7OylkKTtkZAAAAAIAZAAABEwEsAALABEAABMhMhYUBiMhIiY0NgERBxEBIZYDhBUdHRX8fBUdHQI7yP6iA4QEsB0qHR0qHf1E%2FtTIAfQB9AAAAAMAAABkBLAEsAAXABsAJQAAATMyFh0BITIWFREhNSMVIRE0NjMhNTQ2FxUzNQEVFAYjISImPQEB9MgpOwEsKTv%2BDMj%2BDDspASw7KcgB9Dsp%2FBgpOwSwOylkOyn%2BcGRkAZApO2QpO2RkZP1EyCk7OynIAAAABAAAAAAEsASwABUAKwBBAFcAABMhMhYPARcWFA8BBiIvAQcGJjURNDYpATIWFREUBi8BBwYiLwEmND8BJyY2ARcWFA8BFxYGIyEiJjURNDYfATc2MgU3NhYVERQGIyEiJj8BJyY0PwE2MhcyASwVCA5exwcHaggUCMdeDhUdAzUBLBUdFQ5exwgUCGoHB8deDgj%2BL2oHB8deDggV%2FtQVHRUOXscIFALLXg4VHRX%2B1BUIDl7HBwdqCBQIBLAVDl7HCBQIagcHx14OCBUBLBUdHRX%2B1BUIDl7HBwdqCBQIx14OFf0maggUCMdeDhUdFQEsFQgOXscHzl4OCBX%2B1BUdFQ5exwgUCGoHBwAAAAYAAAAABKgEqAAPABsAIwA7AEMASwAAADIeAhQOAiIuAjQ%2BAQQiDgEUHgEyPgE0JiQyFhQGIiY0JDIWFAYjIicHFhUUBiImNTQ2PwImNTQEMhYUBiImNCQyFhQGIiY0Advy3Z9fX5%2Fd8t2gXl6gAcbgv29vv%2BC%2Fb2%2F%2BLS0gIC0gAUwtICAWDg83ETNIMykfegEJ%2FoctICAtIAIdLSAgLSAEqF%2Bf3fLdoF5eoN3y3Z9Xb7%2Fgv29vv%2BC%2FBiAtISEtICAtIQqRFxwkMzMkIDEFfgEODhekIC0gIC0gIC0gIC0AAf%2FYAFoEuQS8AFsAACUBNjc2JicmIyIOAwcABw4EFx4BMzI3ATYnLgEjIgcGBwEOASY0NwA3PgEzMhceARcWBgcOBgcGIyImJyY2NwE2NzYzMhceARcWBgcBDgEnLgECIgHVWwgHdl8WGSJBMD8hIP6IDx4eLRMNBQlZN0ozAiQkEAcdEhoYDRr%2Bqw8pHA4BRyIjQS4ODyw9DQ4YIwwod26La1YOOEBGdiIwGkQB%2F0coW2tQSE5nDxE4Qv4eDyoQEAOtAdZbZWKbEQQUGjIhH%2F6JDxsdNSg3HT5CMwIkJCcQFBcMGv6uDwEcKQ4BTSIjIQEINykvYyMLKnhuiWZMBxtAOU6%2BRAH%2FSBg3ISSGV121Qv4kDwIPDyYAAAACAGQAWASvBEQAGQBEAAABPgIeAhUUDgMHLgQ1ND4CHgEFIg4DIi4DIyIGFRQeAhcWFx4EMj4DNzY3PgQ1NCYCiTB7eHVYNkN5hKg%2BPqeFeEM4WnZ4eQEjIT8yLSohJyktPyJDbxtBMjMPBw86KzEhDSIzKUAMBAgrKT8dF2oDtURIBS1TdkA5eYB%2FslVVsn%2BAeTlAdlMtBUgtJjY1JiY1NiZvTRc4SjQxDwcOPCouGBgwKEALBAkpKkQqMhNPbQACADn%2F8gR3BL4AFwAuAAAAMh8BFhUUBg8BJi8BNycBFwcvASY0NwEDNxYfARYUBwEGIi8BJjQ%2FARYfAQcXAQKru0KNQjgiHR8uEl%2F3%2FnvUaRONQkIBGxJpCgmNQkL%2B5UK6Qo1CQjcdLhJf9wGFBL5CjUJeKmsiHTUuEl%2F4%2FnvUahKNQrpCARv%2BRmkICY1CukL%2B5UJCjUK7Qjc3LxFf%2BAGFAAAAAAMAyAAAA%2BgEsAARABUAHQAAADIeAhURFAYjISImNRE0PgEHESERACIGFBYyNjQCBqqaZDo7Kf2oKTs8Zj4CWP7%2FVj09Vj0EsB4uMhX8Ryk7OykDuRUzLar9RAK8%2FRY9Vj09VgABAAAAAASwBLAAFgAACQEWFAYiLwEBEScBBRMBJyEBJyY0NjIDhgEbDx0qDiT%2B6dT%2BzP7oywEz0gEsAQsjDx0qBKH%2B5g8qHQ8j%2FvX%2B1NL%2BzcsBGAE01AEXJA4qHQAAAAADAScAEQQJBOAAMgBAAEsAAAEVHgQXIy4DJxEXHgQVFAYHFSM1JicuASczHgEXEScuBDU0PgI3NRkBDgMVFB4DFxYXET4ENC4CArwmRVI8LAKfBA0dMydAIjxQNyiym2SWVygZA4sFV0obLkJOMCAyVWg6HSoqFQ4TJhkZCWgWKTEiGBkzNwTgTgUTLD9pQiQuLBsH%2Fs0NBxMtPGQ%2Bi6oMTU8QVyhrVk1iEAFPCA4ZLzlYNkZwSCoGTf4SARIEDh02Jh0rGRQIBgPQ%2FsoCCRYgNEM0JRkAAAABAGQAZgOUBK0ASgAAATIeARUjNC4CIyIGBwYVFB4BFxYXMxUjFgYHBgc%2BATM2FjMyNxcOAyMiLgEHDgEPASc%2BBTc%2BAScjNTMmJy4CPgE3NgIxVJlemSc8OxolVBQpGxoYBgPxxQgVFS02ImIWIIwiUzUyHzY4HCAXanQmJ1YYFzcEGAcTDBEJMAwk3aYXFQcKAg4tJGEErVCLTig%2FIhIdFSw5GkowKgkFZDKCHj4yCg8BIh6TExcIASIfBAMaDAuRAxAFDQsRCjePR2QvORQrREFMIVgAAAACABn%2F%2FwSXBLAADwAfAAABMzIWDwEGIi8BJjY7AREzBRcWBisBESMRIyImPwE2MgGQlhUIDuYOKg7mDggVlsgCF%2BYOCBWWyJYVCA7mDioBLBYO%2Bg8P%2Bg4WA4QQ%2BQ4V%2FHwDhBUO%2BQ8AAAQAGf%2F%2FA%2BgEsAAHABcAGwAlAAABIzUjFSMRIQEzMhYPAQYiLwEmNjsBETMFFTM1EwczFSE1NyM1IQPoZGRkASz9qJYVCA7mDioO5g4IFZbIAZFkY8jI%2FtTIyAEsArxkZAH0%2FHwWDvoPD%2FoOFgOEZMjI%2FRL6ZJb6ZAAAAAAEABn%2F%2FwPoBLAADwAZACEAJQAAATMyFg8BBiIvASY2OwERMwUHMxUhNTcjNSERIzUjFSMRIQcVMzUBkJYVCA7mDioO5g4IFZbIAljIyP7UyMgBLGRkZAEsx2QBLBYO%2Bg8P%2Bg4WA4SW%2BmSW%2BmT7UGRkAfRkyMgAAAAEABn%2F%2FwRMBLAADwAVABsAHwAAATMyFg8BBiIvASY2OwERMwEjESM1MxMjNSMRIQcVMzUBkJYVCA7mDioO5g4IFZbIAlhkZMhkZMgBLMdkASwWDvoPD%2FoOFgOE%2FgwBkGT7UGQBkGTIyAAAAAAEABn%2F%2FwRMBLAADwAVABkAHwAAATMyFg8BBiIvASY2OwERMwEjNSMRIQcVMzUDIxEjNTMBkJYVCA7mDioO5g4IFZbIArxkyAEsx2QBZGTIASwWDvoPD%2FoOFgOE%2FgxkAZBkyMj7tAGQZAAAAAAFABn%2F%2FwSwBLAADwATABcAGwAfAAABMzIWDwEGIi8BJjY7AREzBSM1MxMhNSETITUhEyE1IQGQlhUIDuYOKg7mDggVlsgB9MjIZP7UASxk%2FnABkGT%2BDAH0ASwWDvoPD%2FoOFgOEyMj%2BDMj%2BDMj%2BDMgABQAZ%2F%2F8EsASwAA8AEwAXABsAHwAAATMyFg8BBiIvASY2OwERMwUhNSEDITUhAyE1IQMjNTMBkJYVCA7mDioO5g4IFZbIAyD%2BDAH0ZP5wAZBk%2FtQBLGTIyAEsFg76Dw%2F6DhYDhMjI%2FgzI%2FgzI%2FgzIAAIAAAAABEwETAAPAB8AAAEhMhYVERQGIyEiJjURNDYFISIGFREUFjMhMjY1ETQmAV4BkKK8u6P%2BcKW5uQJn%2FgwpOzspAfQpOzsETLuj%2FnClubmlAZClucg7Kf4MKTs7KQH0KTsAAAAAAwAAAAAETARMAA8AHwArAAABITIWFREUBiMhIiY1ETQ2BSEiBhURFBYzITI2NRE0JgUXFhQPAQYmNRE0NgFeAZClubml%2FnCju7wCZP4MKTs7KQH0KTs7%2Fm%2F9ERH9EBgYBEy5pf5wpbm5pQGQo7vIOyn%2BDCk7OykB9Ck7gr4MJAy%2BDAsVAZAVCwAAAAADAAAAAARMBEwADwAfACsAAAEhMhYVERQGIyEiJjURNDYFISIGFREUFjMhMjY1ETQmBSEyFg8BBiIvASY2AV4BkKO7uaX%2BcKW5uQJn%2FgwpOzspAfQpOzv%2BFQGQFQsMvgwkDL4MCwRMvKL%2BcKW5uaUBkKO7yDsp%2FgwpOzspAfQpO8gYEP0REf0QGAAAAAMAAAAABEwETAAPAB8AKwAAASEyFhURFAYjISImNRE0NgUhIgYVERQWMyEyNjURNCYFFxYGIyEiJj8BNjIBXgGQpbm5pf5wo7u5Amf%2BDCk7OykB9Ck7O%2F77vgwLFf5wFQsMvgwkBEy5pf5wo7u8ogGQpbnIOyn%2BDCk7OykB9Ck7z%2F0QGBgQ%2FREAAAAAAgAAAAAFFARMAB8ANQAAASEyFhURFAYjISImPQE0NjMhMjY1ETQmIyEiJj0BNDYHARYUBwEGJj0BIyImPQE0NjsBNTQ2AiYBkKW5uaX%2BcBUdHRUBwik7Oyn%2BPhUdHb8BRBAQ%2FrwQFvoVHR0V%2BhYETLml%2FnCluR0VZBUdOykB9Ck7HRVkFR3p%2FuQOJg7%2B5A4KFZYdFcgVHZYVCgAAAQDZAAID1wSeACMAAAEXFgcGAgclMhYHIggBBwYrAScmNz4BPwEhIicmNzYANjc2MwMZCQgDA5gCASwYEQ4B%2Fvf%2B8wQMDgkJCQUCUCcn%2FtIXCAoQSwENuwUJEASeCQoRC%2F5TBwEjEv7K%2FsUFDwgLFQnlbm4TFRRWAS%2FTBhAAAAACAAAAAAT%2BBEwAHwA1AAABITIWHQEUBiMhIgYVERQWMyEyFh0BFAYjISImNRE0NgUBFhQHAQYmPQEjIiY9ATQ2OwE1NDYBXgGQFR0dFf4%2BKTs7KQHCFR0dFf5wpbm5AvEBRBAQ%2FrwQFvoVHR0V%2BhYETB0VZBUdOyn%2BDCk7HRVkFR25pQGQpbnp%2FuQOJg7%2B5A4KFZYdFcgVHZYVCgACAAAAAASwBLAAFQAxAAABITIWFREUBi8BAQYiLwEmNDcBJyY2ASMiBhURFBYzITI2PQE3ERQGIyEiJjURNDYzIQLuAZAVHRUObf7IDykPjQ8PAThtDgj%2B75wpOzspAfQpO8i7o%2F5wpbm5pQEsBLAdFf5wFQgObf7IDw%2BNDykPAThtDhX%2B1Dsp%2FgwpOzsplMj%2B1qW5uaUBkKW5AAADAA4ADgSiBKIADwAbACMAAAAyHgIUDgIiLgI0PgEEIg4BFB4BMj4BNCYEMhYUBiImNAHh7tmdXV2d2e7ZnV1dnQHD5sJxccLmwnFx%2FnugcnKgcgSiXZ3Z7tmdXV2d2e7ZnUdxwubCcXHC5sJzcqBycqAAAAMAAAAABEwEsAAVAB8AIwAAATMyFhURMzIWBwEGIicBJjY7ARE0NgEhMhYdASE1NDYFFTM1AcLIFR31FAoO%2FoEOJw3%2BhQ0JFfod%2FoUD6BUd%2B7QdA2dkBLAdFf6iFg%2F%2BVg8PAaoPFgFeFR38fB0V%2BvoVHWQyMgAAAAMAAAAABEwErAAVAB8AIwAACQEWBisBFRQGKwEiJj0BIyImNwE%2BAQEhMhYdASE1NDYFFTM1AkcBeg4KFfQiFsgUGPoUCw4Bfw4n%2FfkD6BUd%2B7QdA2dkBJ7%2BTQ8g%2BhQeHRX6IQ8BrxAC%2FH8dFfr6FR1kMjIAAwAAAAAETARLABQAHgAiAAAJATYyHwEWFAcBBiInASY0PwE2MhcDITIWHQEhNTQ2BRUzNQGMAXEHFQeLBwf98wcVB%2F7cBweLCBUH1APoFR37tB0DZ2QC0wFxBweLCBUH%2FfMICAEjCBQIiwcH%2FdIdFfr6FR1kMjIABAAAAAAETASbAAkAGQAjACcAABM3NjIfAQcnJjQFNzYWFQMOASMFIiY%2FASc3ASEyFh0BITU0NgUVMzWHjg4qDk3UTQ4CFtIOFQIBHRX9qxUIDtCa1P49A%2BgVHfu0HQNnZAP%2Fjg4OTdRMDyqa0g4IFf2pFB4BFQ7Qm9T9Oh0V%2BvoVHWQyMgAAAAQAAAAABEwEsAAPABkAIwAnAAABBR4BFRMUBi8BByc3JyY2EwcGIi8BJjQ%2FAQEhMhYdASE1NDYFFTM1AV4CVxQeARUO0JvUm9IOCMNMDyoOjg4OTf76A%2BgVHfu0HQNnZASwAgEdFf2rFQgO0JrUmtIOFf1QTQ4Ojg4qDk3%2BWB0V%2BvoVHWQyMgACAAT%2F7ASwBK8ABQAIAAAlCQERIQkBFQEEsP4d%2Fsb%2BcQSs%2FTMCq2cBFP5xAacDHPz55gO5AAAAAAIAAABkBEwEsAAVABkAAAERFAYrAREhESMiJjURNDY7AREhETMHIzUzBEwdFZb9RJYVHR0V%2BgH0ZMhkZAPo%2FK4VHQGQ%2FnAdFQPoFB7%2B1AEsyMgAAAMAAABFBN0EsAAWABoALwAAAQcBJyYiDwEhESMiJjURNDY7AREhETMHIzUzARcWFAcBBiIvASY0PwE2Mh8BATYyBEwC%2FtVfCRkJlf7IlhUdHRX6AfRkyGRkAbBqBwf%2BXAgUCMoICGoHFQdPASkHFQPolf7VXwkJk%2F5wHRUD6BQe%2FtQBLMjI%2Fc5qBxUH%2FlsHB8sHFQdqCAhPASkHAAMAAAANBQcEsAAWABoAPgAAAREHJy4BBwEhESMiJjURNDY7AREhETMHIzUzARcWFA8BFxYUDwEGIi8BBwYiLwEmND8BJyY0PwE2Mh8BNzYyBExnhg8lEP72%2FreWFR0dFfoB9GTIZGQB9kYPD4ODDw9GDykPg4MPKQ9GDw%2BDgw8PRg8pD4ODDykD6P7zZ4YPAw7%2B9v5wHRUD6BQe%2FtQBLMjI%2FYxGDykPg4MPKQ9GDw%2BDgw8PRg8pD4ODDykPRg8Pg4MPAAADAAAAFQSXBLAAFQAZAC8AAAERISIGHQEhESMiJjURNDY7AREhETMHIzUzEzMyFh0BMzIWDwEGIi8BJjY7ATU0NgRM%2FqIVHf4MlhUdHRX6AfRkyGRklmQVHZYVCA7mDioO5g4IFZYdA%2Bj%2B1B0Vlv5wHRUD6BQe%2FtQBLMjI%2FagdFfoVDuYODuYOFfoVHQAAAAADAAAAAASXBLAAFQAZAC8AAAERJyYiBwEhESMiJjURNDY7AREhETMHIzUzExcWBisBFRQGKwEiJj0BIyImPwE2MgRMpQ4qDv75%2Fm6WFR0dFfoB9GTIZGTr5g4IFZYdFWQVHZYVCA7mDioD6P5wpQ8P%2Fvf%2BcB0VA%2BgUHv7UASzIyP2F5Q8V%2BhQeHhT6FQ%2FlDwADAAAAyASwBEwACQATABcAABMhMhYdASE1NDYBERQGIyEiJjURExUhNTIETBUd%2B1AdBJMdFfu0FR1kAZAETB0VlpYVHf7U%2FdoVHR0VAib%2B1MjIAAAGAAMAfQStBJcADwAZAB0ALQAxADsAAAEXFhQPAQYmPQEhNSE1NDYBIyImPQE0NjsBFyM1MwE3NhYdASEVIRUUBi8BJjQFIzU7AjIWHQEUBisBA6f4Dg74DhX%2BcAGQFf0vMhUdHRUyyGRk%2FoL3DhUBkP5wFQ73DwOBZGRkMxQdHRQzBI3mDioO5g4IFZbIlhUI%2FoUdFWQVHcjI%2FcvmDggVlsiWFQgO5g4qecgdFWQVHQAAAAACAGQAAASwBLAAFgBRAAABJTYWFREUBisBIiY1ES4ENRE0NiUyFh8BERQOAg8BERQGKwEiJjURLgQ1ETQ%2BAzMyFh8BETMRPAE%2BAjMyFh8BETMRND4DA14BFBklHRXIFR0EDiIaFiX%2B4RYZAgEVHR0LCh0VyBUdBA4iGhYBBwoTDRQZAgNkBQkVDxcZAQFkAQUJFQQxdBIUH%2FuuFR0dFQGNAQgbHzUeAWcfRJEZDA3%2BPhw%2FMSkLC%2F5BFR0dFQG%2FBA8uLkAcAcICBxENCxkMDf6iAV4CBxENCxkMDf6iAV4CBxENCwABAGQAAASwBEwAMwAAARUiDgMVERQWHwEVITUyNjURIREUFjMVITUyPgM1ETQmLwE1IRUiBhURIRE0JiM1BLAEDiIaFjIZGf5wSxn%2BDBlL%2FnAEDiIaFjIZGQGQSxkB9BlLBEw4AQUKFA78iBYZAQI4OA0lAYr%2BdiUNODgBBQoUDgN4FhkBAjg4DSX%2BdgGKJQ04AAAABgAAAAAETARMAAwAHAAgACQAKAA0AAABITIWHQEjBTUnITchBSEyFhURFAYjISImNRE0NhcVITUBBTUlBRUhNQUVFAYjIQchJyE3MwKjAXcVHWn%2B2cj%2BcGQBd%2F4lASwpOzsp%2FtQpOzspASwCvP5wAZD8GAEsArwdFf6JZP6JZAGQyGkD6B0VlmJiyGTIOyn%2BDCk7OykB9Ck7ZMjI%2FveFo4XGyMhm%2BBUdZGTIAAEAEAAQBJ8EnwAmAAATNzYWHwEWBg8BHgEXNz4BHwEeAQ8BBiIuBicuBTcRohEuDosOBhF3ZvyNdxEzE8ATBxGjAw0uMUxPZWZ4O0p3RjITCwED76IRBhPCFDERdo78ZXYRBA6IDi8RogEECBUgNUNjO0qZfHNVQBAAAAACAAAAAASwBEwAIwBBAAAAMh4EHwEVFAYvAS4BPQEmIAcVFAYPAQYmPQE%2BBRIyHgIfARUBHgEdARQGIyEiJj0BNDY3ATU0PgIB%2FLimdWQ%2FLAkJHRTKFB2N%2FsKNHRTKFB0DDTE7ZnTKcFImFgEBAW0OFR0V%2B7QVHRUOAW0CFiYETBUhKCgiCgrIFRgDIgMiFZIYGJIVIgMiAxgVyAQNJyQrIP7kExwcCgoy%2FtEPMhTUFR0dFdQUMg8BLzIEDSEZAAADAAAAAASwBLAADQAdACcAAAEHIScRMxUzNTMVMzUzASEyFhQGKwEXITcjIiY0NgMhMhYdASE1NDYETMj9qMjIyMjIyPyuArwVHR0VDIn8SokMFR0dswRMFR37UB0CvMjIAfTIyMjI%2FOAdKh1kZB0qHf7UHRUyMhUdAAAAAwBkAAAEsARMAAkAEwAdAAABIyIGFREhETQmASMiBhURIRE0JgEhETQ2OwEyFhUCvGQpOwEsOwFnZCk7ASw7%2FRv%2B1DspZCk7BEw7KfwYA%2BgpO%2F7UOyn9RAK8KTv84AGQKTs7KQAAAAAF%2F5wAAASwBEwADwATAB8AJQApAAATITIWFREUBiMhIiY1ETQ2FxEhEQUjFTMRITUzNSMRIQURByMRMwcRMxHIArx8sLB8%2FUR8sLAYA4T%2BDMjI%2FtTIyAEsAZBkyMhkZARMsHz%2BDHywsHwB9HywyP1EArzIZP7UZGQBLGT%2B1GQB9GT%2B1AEsAAAABf%2BcAAAEsARMAA8AEwAfACUAKQAAEyEyFhURFAYjISImNRE0NhcRIREBIzUjFSMRMxUzNTMFEQcjETMHETMRyAK8fLCwfP1EfLCwGAOE%2FgxkZGRkZGQBkGTIyGRkBEywfP4MfLCwfAH0fLDI%2FUQCvP2oyMgB9MjIZP7UZAH0ZP7UASwABP%2BcAAAEsARMAA8AEwAbACMAABMhMhYVERQGIyEiJjURNDYXESERBSMRMxUhESEFIxEzFSERIcgCvHywsHz9RHywsBgDhP4MyMj%2B1AEsAZDIyP7UASwETLB8%2Fgx8sLB8AfR8sMj9RAK8yP7UZAH0ZP7UZAH0AAAABP%2BcAAAEsARMAA8AEwAWABkAABMhMhYVERQGIyEiJjURNDYXESERAS0BDQERyAK8fLCwfP1EfLCwGAOE%2Fgz%2B1AEsAZD%2B1ARMsHz%2BDHywsHwB9HywyP1EArz%2BDJaWlpYBLAAAAAX%2FnAAABLAETAAPABMAFwAgACkAABMhMhYVERQGIyEiJjURNDYXESERAyERIQcjIgYVFBY7AQERMzI2NTQmI8gCvHywsHz9RHywsBgDhGT9RAK8ZIImOTYpgv4Mgik2OSYETLB8%2Fgx8sLB8AfR8sMj9RAK8%2FagB9GRWQUFUASz%2B1FRBQVYAAAAF%2F5wAAASwBEwADwATAB8AJQApAAATITIWFREUBiMhIiY1ETQ2FxEhEQUjFTMRITUzNSMRIQEjESM1MwMjNTPIArx8sLB8%2FUR8sLAYA4T%2BDMjI%2FtTIyAEsAZBkZMjIZGQETLB8%2Fgx8sLB8AfR8sMj9RAK8yGT%2B1GRkASz%2BDAGQZP4MZAAG%2F5wAAASwBEwADwATABkAHwAjACcAABMhMhYVERQGIyEiJjURNDYXESERBTMRIREzASMRIzUzBRUzNQEjNTPIArx8sLB8%2FUR8sLAYA4T9RMj%2B1GQCWGRkyP2oZAEsZGQETLB8%2Fgx8sLB8AfR8sMj9RAK8yP5wAfT%2BDAGQZMjIyP7UZAAF%2F5wAAASwBEwADwATABwAIgAmAAATITIWFREUBiMhIiY1ETQ2FxEhEQEHIzU3NSM1IQEjESM1MwMjNTPIArx8sLB8%2FUR8sLAYA4T%2BDMdkx8gBLAGQZGTIx2RkBEywfP4MfLCwfAH0fLDI%2FUQCvP5wyDLIlmT%2BDAGQZP4MZAAAAAMACQAJBKcEpwAPABsAJQAAADIeAhQOAiIuAjQ%2BAQQiDgEUHgEyPgE0JgchFSEVISc1NyEB4PDbnl5entvw255eXp4BxeTCcXHC5MJxcWz%2B1AEs%2FtRkZAEsBKdentvw255eXp7b8NueTHHC5MJxccLkwtDIZGTIZAAAAAAEAAkACQSnBKcADwAbACcAKwAAADIeAhQOAiIuAjQ%2BAQQiDgEUHgEyPgE0JgcVBxcVIycjFSMRIQcVMzUB4PDbnl5entvw255eXp4BxeTCcXHC5MJxcWwyZGRklmQBLMjIBKdentvw255eXp7b8NueTHHC5MJxccLkwtBkMmQyZGQBkGRkZAAAAv%2Fy%2F50EwgRBACAANgAAATIWFzYzMhYUBisBNTQmIyEiBh0BIyImNTQ2NyY1ND4BEzMyFhURMzIWDwEGIi8BJjY7ARE0NgH3brUsLC54qqp4gB0V%2FtQVHd5QcFZBAmKqepYKD4kVCg3fDSYN3w0KFYkPBEF3YQ6t8a36FR0dFfpzT0VrDhMSZKpi%2FbMPCv7tFxD0EBD0EBcBEwoPAAAAAAL%2F8v%2BcBMMEQQAcADMAAAEyFhc2MzIWFxQGBwEmIgcBIyImNTQ2NyY1ND4BExcWBisBERQGKwEiJjURIyImNzY3NjIB9m62LCsueaoBeFr%2Bhg0lDf6DCU9xVkECYqnm3w0KFYkPCpYKD4kVCg3HGBMZBEF3YQ%2BteGOkHAFoEBD%2Bk3NPRWsOExNkqWP9kuQQF%2F7tCg8PCgETFxDMGBMAAAABAGQAAARMBG0AGAAAJTUhATMBMwkBMwEzASEVIyIGHQEhNTQmIwK8AZD%2B8qr%2B8qr%2B1P7Uqv7yqv7yAZAyFR0BkB0VZGQBLAEsAU3%2Bs%2F7U%2FtRkHRUyMhUdAAAAAAEAeQAABDcEmwAvAAABMhYXHgEVFAYHFhUUBiMiJxUyFh0BITU0NjM1BiMiJjU0Ny4BNTQ2MzIXNCY1NDYCWF6TGll7OzIJaUo3LRUd%2FtQdFS03SmkELzlpSgUSAqMEm3FZBoNaPWcfHRpKaR77HRUyMhUd%2Bx5pShIUFVg1SmkCAhAFdKMAAAAGACcAFASJBJwAEQAqAEIASgBiAHsAAAEWEgIHDgEiJicmAhI3PgEyFgUiBw4BBwYWHwEWMzI3Njc2Nz4BLwEmJyYXIgcOAQcGFh8BFjMyNz4BNz4BLwEmJyYWJiIGFBYyNjciBw4BBw4BHwEWFxYzMjc%2BATc2Ji8BJhciBwYHBgcOAR8BFhcWMzI3PgE3NiYvASYD8m9PT29T2dzZU29PT29T2dzZ%2Fj0EBHmxIgQNDCQDBBcGG0dGYAsNAwkDCwccBAVQdRgEDA0iBAQWBhJROQwMAwkDCwf5Y4xjY4xjVhYGElE6CwwDCQMLBwgEBVB1GAQNDCIEjRcGG0dGYAsNAwkDCwcIBAR5sSIEDQwkAwPyb%2F7V%2FtVvU1dXU28BKwErb1NXVxwBIrF5DBYDCQEWYEZHGwMVDCMNBgSRAhh1UA0WAwkBFTpREgMVCyMMBwT6Y2OMY2MVFTpREQQVCyMMBwQCGHVQDRYDCQEkFmBGRxsDFQwjDQYEASKxeQwWAwkBAAAABQBkAAAD6ASwAAwADwAWABwAIgAAASERIzUhFSERNDYzIQEjNQMzByczNTMDISImNREFFRQGKwECvAEstP6s%2FoQPCgI%2FASzIZKLU1KJktP51Cg8DhA8KwwMg%2FoTIyALzCg%2F%2B1Mj84NTUyP4MDwoBi8jDCg8AAAAABQBkAAAD6ASwAAkADAATABoAIQAAASERCQERNDYzIQEjNRMjFSM1IzcDISImPQEpARUUBisBNQK8ASz%2Bov3aDwoCPwEsyD6iZKLUqv6dCg8BfAIIDwqbAyD9%2BAFe%2FdoERwoP%2FtTI%2FHzIyNT%2BZA8KNzcKD1AAAAAAAwAAAAAEsAP0AAgAGQAfAAABIxUzFyERIzcFMzIeAhUhFSEDETM0PgIBMwMhASEEiqJkZP7UotT9EsgbGiEOASz9qMhkDiEaAnPw8PzgASwB9AMgyGQBLNTUBBErJGT%2BogHCJCsRBP5w%2FnAB9AAAAAMAAAAABEwETAAZADIAOQAAATMyFh0BMzIWHQEUBiMhIiY9ATQ2OwE1NDYFNTIWFREUBiMhIic3ARE0NjMVFBYzITI2AQc1IzUzNQKKZBUdMhUdHRX%2B1BUdHRUyHQFzKTs7Kf2oARP2%2Fro7KVg%2BASw%2BWP201MjIBEwdFTIdFWQVHR0VZBUdMhUd%2BpY7KfzgKTsE9gFGAUQpO5Y%2BWFj95tSiZKIAAwBkAAAEvARMABkANgA9AAABMzIWHQEzMhYdARQGIyEiJj0BNDY7ATU0NgU1MhYVESMRMxQOAiMhIiY1ETQ2MxUUFjMhMjYBBzUjNTM1AcJkFR0yFR0dFf7UFR0dFTIdAXMpO8jIDiEaG%2F2oKTs7KVg%2BASw%2BWAGc1MjIBEwdFTIdFWQVHR0VZBUdMhUd%2BpY7Kf4M%2FtQkKxEEOykDICk7lj5YWP3m1KJkogAAAAP%2FogAABRYE1AALABsAHwAACQEWBiMhIiY3ATYyEyMiBhcTHgE7ATI2NxM2JgMVMzUCkgJ9FyAs%2BwQsIBcCfRZARNAUGAQ6BCMUNhQjBDoEGODIBK37sCY3NyYEUCf%2BTB0U%2FtIUHR0UAS4UHf4MZGQAAAAACQAAAAAETARMAA8AHwAvAD8ATwBfAG8AfwCPAAABMzIWHQEUBisBIiY9ATQ2EzMyFh0BFAYrASImPQE0NiEzMhYdARQGKwEiJj0BNDYBMzIWHQEUBisBIiY9ATQ2ITMyFh0BFAYrASImPQE0NiEzMhYdARQGKwEiJj0BNDYBMzIWHQEUBisBIiY9ATQ2ITMyFh0BFAYrASImPQE0NiEzMhYdARQGKwEiJj0BNDYBqfoKDw8K%2BgoPDwr6Cg8PCvoKDw8BmvoKDw8K%2BgoPD%2Fzq%2BgoPDwr6Cg8PAZr6Cg8PCvoKDw8BmvoKDw8K%2BgoPD%2Fzq%2BgoPDwr6Cg8PAZr6Cg8PCvoKDw8BmvoKDw8K%2BgoPDwRMDwqWCg8PCpYKD%2F7UDwqWCg8PCpYKDw8KlgoPDwqWCg%2F%2B1A8KlgoPDwqWCg8PCpYKDw8KlgoPDwqWCg8PCpYKD%2F7UDwqWCg8PCpYKDw8KlgoPDwqWCg8PCpYKDw8KlgoPAAAAAwAAAAAEsAUUABkAKQAzAAABMxUjFSEyFg8BBgchJi8BJjYzITUjNTM1MwEhMhYUBisBFyE3IyImNDYDITIWHQEhNTQ2ArxkZAFePjEcQiko%2FPwoKUIcMT4BXmRkyP4%2BArwVHR0VDIn8SooNFR0dswRMFR37UB0EsMhkTzeEUzMzU4Q3T2TIZPx8HSodZGQdKh3%2B1B0VMjIVHQAABAAAAAAEsAUUAAUAGQArADUAAAAyFhUjNAchFhUUByEyFg8BIScmNjMhJjU0AyEyFhQGKwEVBSElNSMiJjQ2AyEyFh0BITU0NgIwUDnCPAE6EgMBSCkHIq%2F9WrIiCikBSAOvArwVHR0VlgET%2FEoBE5YVHR2zBEwVHftQHQUUOykpjSUmCBEhFpGRFiERCCb%2BlR0qHcjIyMgdKh39qB0VMjIVHQAEAAAAAASwBJ0ABwAUACQALgAAADIWFAYiJjQTMzIWFRQXITY1NDYzASEyFhQGKwEXITcjIiY0NgMhMhYdASE1NDYCDZZqapZqty4iKyf%2BvCcrI%2F7NArwVHR0VDYr8SokMFR0dswRMFR37UB0EnWqWamqW%2Fus5Okxra0w6Of5yHSodZGQdKh3%2B1B0VMjIVHQAEAAAAAASwBRQADwAcACwANgAAATIeARUUBiImNTQ3FzcnNhMzMhYVFBchNjU0NjMBITIWFAYrARchNyMiJjQ2AyEyFh0BITU0NgJYL1szb5xvIpBvoyIfLiIrJ%2F68Jysj%2Fs0CvBUdHRUNivxKiQwVHR2zBEwVHftQHQUUa4s2Tm9vTj5Rj2%2BjGv4KOTpMa2tMOjn%2Bch0qHWRkHSod%2FtQdFTIyFR0AAAADAAAAAASwBRIAEgAiACwAAAEFFSEUHgMXIS4BNTQ%2BAjcBITIWFAYrARchNyMiJjQ2AyEyFh0BITU0NgJYASz%2B1CU%2FP00T%2Fe48PUJtj0r%2BogK8FR0dFQ2K%2FEqJDBUdHbMETBUd%2B1AdBLChizlmUT9IGVO9VFShdksE%2FH4dKh1kZB0qHf7UHRUyMhUdAAIAyAAAA%2BgFFAAPACkAAAAyFh0BHgEdASE1NDY3NTQDITIWFyMVMxUjFTMVIxUzFAYjISImNRE0NgIvUjsuNv5wNi5kAZA2XBqsyMjIyMh1U%2F5wU3V1BRQ7KU4aXDYyMjZcGk4p%2Fkc2LmRkZGRkU3V1UwGQU3UAAAMAZP%2F%2FBEwETAAPAC8AMwAAEyEyFhURFAYjISImNRE0NgMhMhYdARQGIyEXFhQGIi8BIQcGIiY0PwEhIiY9ATQ2BQchJ5YDhBUdHRX8fBUdHQQDtgoPDwr%2B5eANGiUNWP30Vw0mGg3g%2Ft8KDw8BqmQBRGQETB0V%2FgwVHR0VAfQVHf1EDwoyCg%2FgDSUbDVhYDRslDeAPCjIKD2RkZAAAAAAEAAAAAASwBEwAGQAjAC0ANwAAEyEyFh0BIzQmKwEiBhUjNCYrASIGFSM1NDYDITIWFREhETQ2ExUUBisBIiY9ASEVFAYrASImPQHIAyBTdWQ7KfopO2Q7KfopO2R1EQPoKTv7UDvxHRVkFR0D6B0VZBUdBEx1U8gpOzspKTs7KchTdf4MOyn%2B1AEsKTv%2BDDIVHR0VMjIVHR0VMgADAAEAAASpBKwADQARABsAAAkBFhQPASEBJjQ3ATYyCQMDITIWHQEhNTQ2AeACqh8fg%2F4f%2FfsgIAEnH1n%2BrAFWAS%2F%2Bq6IDIBUd%2FHwdBI39VR9ZH4MCBh9ZHwEoH%2F5u%2FqoBMAFV%2FBsdFTIyFR0AAAAAAgCPAAAEIQSwABcALwAAAQMuASMhIgYHAwYWMyEVFBYyNj0BMzI2AyE1NDY7ATU0NjsBETMRMzIWHQEzMhYVBCG9CCcV%2FnAVJwi9CBMVAnEdKh19FROo%2Fa0dFTIdFTDILxUdMhUdAocB%2BhMcHBP%2BBhMclhUdHRWWHP2MMhUdMhUdASz%2B1B0VMh0VAAAEAAAAAASwBLAADQAQAB8AIgAAASERFAYjIREBNTQ2MyEBIzUBIREUBiMhIiY1ETQ2MyEBIzUDhAEsDwr%2Bif7UDwoBdwEsyP2oASwPCv12Cg8PCgF3ASzIAyD9wQoPAk8BLFQKD%2F7UyP4M%2FcEKDw8KA7YKD%2F7UyAAC%2F5wAZAUUBEcARgBWAAABMzIeAhcWFxY2NzYnJjc%2BARYXFgcOASsBDgEPAQ4BKwEiJj8BBisBIicHDgErASImPwEmLwEuAT0BNDY7ATY3JyY2OwE2BSMiBh0BFBY7ATI2PQE0JgHkw0uOakkMEhEfQwoKGRMKBQ8XDCkCA1Y9Pgc4HCcDIhVkFRgDDDEqwxgpCwMiFWQVGAMaVCyfExwdFXwLLW8QBxXLdAFF%2BgoPDwr6Cg8PBEdBa4pJDgYKISAiJRsQCAYIDCw9P1c3fCbqFB0dFEYOCEAUHR0UnUplNQcmFTIVHVdPXw4TZV8PCjIKDw8KMgoPAAb%2FnP%2FmBRQEfgAJACQANAA8AFIAYgAAASU2Fh8BFgYPASUzMhYfASEyFh0BFAYHBQYmJyYjISImPQE0NhcjIgYdARQ7ATI2NTQmJyYEIgYUFjI2NAE3PgEeARceAT8BFxYGDwEGJi8BJjYlBwYfAR4BPwE2Jy4BJy4BAoEBpxMuDiAOAxCL%2FCtqQ0geZgM3FR0cE%2F0fFyIJKjr%2B1D5YWLlQExIqhhALIAsSAYBALS1ALf4PmBIgHhMQHC0aPzANITNQL3wpgigJASlmHyElDR0RPRMFAhQHCxADhPcICxAmDyoNeMgiNtQdFTIVJgeEBBQPQ1g%2ByD5YrBwVODMQEAtEERzJLUAtLUD%2B24ITChESEyMgAwWzPUkrRSgJL5cvfRxYGyYrDwkLNRAhFEgJDAQAAAAAAwBkAAAEOQSwAFEAYABvAAABMzIWHQEeARcWDgIPATIeBRUUDgUjFRQGKwEiJj0BIxUUBisBIiY9ASMiJj0BNDY7AREjIiY9ATQ2OwE1NDY7ATIWHQEzNTQ2AxUhMj4CNTc0LgMjARUhMj4CNTc0LgMjAnGWCg9PaAEBIC4uEBEGEjQwOiodFyI2LUAjGg8KlgoPZA8KlgoPrwoPDwpLSwoPDwqvDwqWCg9kD9cBBxwpEwsBAQsTKRz%2B%2BQFrHCkTCwEBCxMpHASwDwptIW1KLk0tHwYGAw8UKDJOLTtdPCoVCwJLCg8PCktLCg8PCksPCpYKDwJYDwqWCg9LCg8PCktLCg%2F%2B1MgVHR0LCgQOIhoW%2FnDIFR0dCwoEDiIaFgAAAwAEAAIEsASuABcAKQAsAAATITIWFREUBg8BDgEjISImJy4CNRE0NgQiDgQPARchNy4FAyMT1AMMVnokEhIdgVL9xFKCHAgYKHoCIIx9VkcrHQYGnAIwnAIIIClJVSGdwwSuelb%2BYDO3QkJXd3ZYHFrFMwGgVnqZFyYtLSUMDPPzBQ8sKDEj%2FsIBBQACAMgAAAOEBRQADwAZAAABMzIWFREUBiMhIiY1ETQ2ARUUBisBIiY9AQHblmesVCn%2BPilUrAFINhWWFTYFFKxn%2FgwpVFQpAfRnrPwY4RU2NhXhAAACAMgAAAOEBRQADwAZAAABMxQWMxEUBiMhIiY1ETQ2ARUUBisBIiY9AQHbYLOWVCn%2BPilUrAFINhWWFTYFFJaz%2FkIpVFQpAfRnrPwY4RU2NhXhAAACAAAAFAUOBBoAFAAaAAAJASUHFRcVJwc1NzU0Jj4CPwEnCQEFJTUFJQUO%2FYL%2Bhk5klpZkAQEBBQQvkwKCAVz%2Bov6iAV4BXgL%2F%2FuWqPOCWx5SVyJb6BA0GCgYDKEEBG%2F1ipqaTpaUAAAMAZAH0BLADIAAHAA8AFwAAEjIWFAYiJjQkMhYUBiImNCQyFhQGIiY0vHxYWHxYAeh8WFh8WAHofFhYfFgDIFh8WFh8WFh8WFh8WFh8WFh8AAAAAAMBkAAAArwETAAHAA8AFwAAADIWFAYiJjQSMhYUBiImNBIyFhQGIiY0Aeh8WFh8WFh8WFh8WFh8WFh8WARMWHxYWHz%2ByFh8WFh8%2FshYfFhYfAAAAAMAZABkBEwETAAPAB8ALwAAEyEyFh0BFAYjISImPQE0NhMhMhYdARQGIyEiJj0BNDYTITIWHQEUBiMhIiY9ATQ2fQO2Cg8PCvxKCg8PCgO2Cg8PCvxKCg8PCgO2Cg8PCvxKCg8PBEwPCpYKDw8KlgoP%2FnAPCpYKDw8KlgoP%2FnAPCpYKDw8KlgoPAAAABAAAAAAEsASwAA8AHwAvADMAAAEhMhYVERQGIyEiJjURNDYFISIGFREUFjMhMjY1ETQmBSEyFhURFAYjISImNRE0NhcVITUBXgH0ory7o%2F4Mpbm5Asv9qCk7OykCWCk7O%2F2xAfQVHR0V%2FgwVHR1HAZAEsLuj%2FgylubmlAfSlucg7Kf2oKTs7KQJYKTtkHRX%2B1BUdHRUBLBUdZMjIAAAAAAEAZABkBLAETAA7AAATITIWFAYrARUzMhYUBisBFTMyFhQGKwEVMzIWFAYjISImNDY7ATUjIiY0NjsBNSMiJjQ2OwE1IyImNDaWA%2BgVHR0VMjIVHR0VMjIVHR0VMjIVHR0V%2FBgVHR0VMjIVHR0VMjIVHR0VMjIVHR0ETB0qHcgdKh3IHSodyB0qHR0qHcgdKh3IHSodyB0qHQAAAAYBLAAFA%2BgEowAHAA0AEwAZAB8AKgAAAR4BBgcuATYBMhYVIiYlFAYjNDYBMhYVIiYlFAYjNDYDFRQGIiY9ARYzMgKKVz8%2FV1c%2FP%2F75fLB8sAK8sHyw%2FcB8sHywArywfLCwHSodKAMRBKNDsrJCQrKy%2FsCwfLB8fLB8sP7UsHywfHywfLD%2B05AVHR0VjgQAAAH%2FtQDIBJQDgQBCAAABNzYXAR4BBw4BKwEyFRQOBCsBIhE0NyYiBxYVECsBIi4DNTQzIyImJyY2NwE2HwEeAQ4BLwEHIScHBi4BNgLpRRkUASoLCAYFGg8IAQQNGyc%2FKZK4ChRUFQu4jjBJJxkHAgcPGQYGCAsBKhQaTBQVCiMUM7YDe7YsFCMKFgNuEwYS%2FtkLHw8OEw0dNkY4MhwBIBgXBAQYF%2F7gKjxTQyMNEw4PHwoBKBIHEwUjKBYGDMHBDAUWKCMAAAAAAgAAAAAEsASwACUAQwAAASM0LgUrAREUFh8BFSE1Mj4DNREjIg4FFSMRIQEjNC4DKwERFBYXMxUjNTI1ESMiDgMVIzUhBLAyCAsZEyYYGcgyGRn%2BcAQOIhoWyBkYJhMZCwgyA%2Bj9RBkIChgQEWQZDQzIMmQREBgKCBkB9AOEFSAVDggDAfyuFhkBAmRkAQUJFQ4DUgEDCA4VIBUBLP0SDxMKBQH%2BVwsNATIyGQGpAQUKEw%2BWAAAAAAMAAAAABEwErgAdACAAMAAAATUiJy4BLwEBIwEGBw4BDwEVITUiJj8BIRcWBiMVARsBARUUBiMhIiY9ATQ2MyEyFgPoGR4OFgUE%2Ft9F%2FtQSFQkfCwsBETE7EkUBJT0NISf%2B7IZ5AbEdFfwYFR0dFQPoFR0BLDIgDiIKCwLr%2FQ4jFQkTBQUyMisusKYiQTIBhwFW%2Fqr942QVHR0VZBUdHQADAAAAAASwBLAADwBHAEoAABMhMhYVERQGIyEiJjURNDYFIyIHAQYHBgcGHQEUFjMhMjY9ATQmIyInJj8BIRcWBwYjIgYdARQWMyEyNj0BNCYnIicmJyMBJhMjEzIETBUdHRX7tBUdHQJGRg0F%2FtUREhImDAsJAREIDAwINxAKCj8BCjkLEQwYCAwMCAE5CAwLCBEZGQ8B%2FuAFDsVnBLAdFfu0FR0dFQRMFR1SDP0PIBMSEAUNMggMDAgyCAwXDhmjmR8YEQwIMggMDAgyBwwBGRskAuwM%2FgUBCAAABAAAAAAEsASwAAMAEwAjACcAAAEhNSEFITIWFREUBiMhIiY1ETQ2KQEyFhURFAYjISImNRE0NhcRIREEsPtQBLD7ggGQFR0dFf5wFR0dAm0BkBUdHRX%2BcBUdHUcBLARMZMgdFfx8FR0dFQOEFR0dFf5wFR0dFQGQFR1k%2FtQBLAAEAAAAAASwBLAADwAfACMAJwAAEyEyFhURFAYjISImNRE0NgEhMhYVERQGIyEiJjURNDYXESEREyE1ITIBkBUdHRX%2BcBUdHQJtAZAVHR0V%2FnAVHR1HASzI%2B1AEsASwHRX8fBUdHRUDhBUd%2FgwdFf5wFR0dFQGQFR1k%2FtQBLP2oZAAAAAACAAAAZASwA%2BgAJwArAAATITIWFREzNTQ2MyEyFh0BMxUjFRQGIyEiJj0BIxEUBiMhIiY1ETQ2AREhETIBkBUdZB0VAZAVHWRkHRX%2BcBUdZB0V%2FnAVHR0CnwEsA%2BgdFf6ilhUdHRWWZJYVHR0Vlv6iFR0dFQMgFR3%2B1P7UASwAAAQAAAAABLAEsAADABMAFwAnAAAzIxEzFyEyFhURFAYjISImNRE0NhcRIREBITIWFREUBiMhIiY1ETQ2ZGRklgGQFR0dFf5wFR0dRwEs%2FqIDhBUdHRX8fBUdHQSwZB0V%2FnAVHR0VAZAVHWT%2B1AEs%2FgwdFf5wFR0dFQGQFR0AAAAAAgBkAAAETASwACcAKwAAATMyFhURFAYrARUhMhYVERQGIyEiJjURNDYzITUjIiY1ETQ2OwE1MwcRIRECWJYVHR0VlgHCFR0dFfx8FR0dFQFelhUdHRWWZMgBLARMHRX%2BcBUdZB0V%2FnAVHR0VAZAVHWQdFQGQFR1kyP7UASwAAAAEAAAAAASwBLAAAwATABcAJwAAISMRMwUhMhYVERQGIyEiJjURNDYXESERASEyFhURFAYjISImNRE0NgSwZGT9dgGQFR0dFf5wFR0dRwEs%2FK4DhBUdHRX8fBUdHQSwZB0V%2FnAVHR0VAZAVHWT%2B1AEs%2FgwdFf5wFR0dFQGQFR0AAAEBLAAwA28EgAAPAAAJAQYjIiY1ETQ2MzIXARYUA2H%2BEhcSDhAQDhIXAe4OAjX%2BEhcbGQPoGRsX%2FhIOKgAAAAABAUEAMgOEBH4ACwAACQE2FhURFAYnASY0AU8B7h0qKh3%2BEg4CewHuHREp%2FBgpER0B7g4qAAAAAAEAMgFBBH4DhAALAAATITIWBwEGIicBJjZkA%2BgpER3%2BEg4qDv4SHREDhCod%2FhIODgHuHSoAAAAAAQAyASwEfgNvAAsAAAkBFgYjISImNwE2MgJ7Ae4dESn8GCkRHQHuDioDYf4SHSoqHQHuDgAAAAACAAgAAASwBCgABgAKAAABFQE1LQE1ASE1IQK8%2FUwBnf5jBKj84AMgAuW2%2Fr3dwcHd%2B9jIAAAAAAIAAABkBLAEsAALADEAAAEjFTMVIREzNSM1IQEzND4FOwERFAYPARUhNSIuAzURMzIeBRUzESEEsMjI%2FtTIyAEs%2B1AyCAsZEyYYGWQyGRkBkAQOIhoWZBkYJhMZCwgy%2FOADhGRkASxkZP4MFSAVDggDAf3aFhkBAmRkAQUJFQ4CJgEDCA4VIBUBLAAAAgAAAAAETAPoACUAMQAAASM0LgUrAREUFh8BFSE1Mj4DNREjIg4FFSMRIQEjFTMVIREzNSM1IQMgMggLGRMmGBlkMhkZ%2FnAEDiIaFmQZGCYTGQsIMgMgASzIyP7UyMgBLAK8FSAVDggDAf3aFhkCAWRkAQUJFQ4CJgEDCA4VIBUBLPzgZGQBLGRkAAABAMgAZgNyBEoAEgAAATMyFgcJARYGKwEiJwEmNDcBNgK9oBAKDP4wAdAMChCgDQr%2BKQcHAdcKBEoWDP4w%2FjAMFgkB1wgUCAHXCQAAAQE%2BAGYD6ARKABIAAAEzMhcBFhQHAQYrASImNwkBJjYBU6ANCgHXBwf%2BKQoNoBAKDAHQ%2FjAMCgRKCf4pCBQI%2FikJFgwB0AHQDBYAAAEAZgDIBEoDcgASAAAAFh0BFAcBBiInASY9ATQ2FwkBBDQWCf4pCBQI%2FikJFgwB0AHQA3cKEKANCv4pBwcB1woNoBAKDP4wAdAAAAABAGYBPgRKA%2BgAEgAACQEWHQEUBicJAQYmPQE0NwE2MgJqAdcJFgz%2BMP4wDBYJAdcIFAPh%2FikKDaAQCgwB0P4wDAoQoA0KAdcHAAAAAgDZ%2F%2FkEPQSwAAUAOgAAARQGIzQ2BTMyFh8BNjc%2BAh4EBgcOBgcGIiYjIgYiJy4DLwEuAT4EHgEXJyY2A%2BiwfLD%2BVmQVJgdPBQsiKFAzRyorDwURAQQSFyozTSwNOkkLDkc3EDlfNyYHBw8GDyUqPjdGMR%2BTDA0EsHywfLDIHBPCAQIGBwcFDx81S21DBxlLR1xKQhEFBQcHGWt0bCQjP2hJNyATBwMGBcASGAAAAAACAMgAFQOEBLAAFgAaAAATITIWFREUBisBEQcGJjURIyImNRE0NhcVITX6AlgVHR0Vlv8TGpYVHR2rASwEsB0V%2FnAVHf4MsgkQFQKKHRUBkBUdZGRkAAAAAgDIABkETASwAA4AEgAAEyEyFhURBRElIREjETQ2ARU3NfoC7ic9%2FUQCWP1EZB8BDWQEsFEs%2FFt1A7Z9%2FBgEARc0%2FV1kFGQAAQAAAAECTW%2FDBF9fDzz1AB8EsAAAAADQdnOXAAAAANB2c5f%2FUf%2BcBdwFFAAAAAgAAgAAAAAAAAABAAAFFP%2BFAAAFFP9R%2FtQF3AABAAAAAAAAAAAAAAAAAAAAowG4ACgAAAAAAZAAAASwAAAEsABkBLAAAASwAAAEsABwAooAAAUUAAACigAABRQAAAGxAAABRQAAANgAAADYAAAAogAAAQQAAABIAAABBAAAAUUAAASwAGQEsAB7BLAAyASwAMgB9AAABLD%2F8gSwAAAEsAAABLD%2F8ASwAAAEsAAOBLAACQSwAGQEsP%2FTBLD%2F0wSwAAAEsAAABLAAAASwAAAEsAAABLAAJgSwAG4EsAAXBLAAFwSwABcEsABkBLAAGgSwAGQEsAAMBLAAZASwABcEsP%2BcBLAAZASwABcEsAAXBLAAAASwABcEsAAXBLAAFwSwAGQEsAAABLAAZASwAAAEsAAABLAAAASwAAAEsAAABLAAAASwAAAEsAAABLAAZASwAMgEsAAABLAAAASwADUEsABkBLAAyASw%2F7UEsAAhBLAAAASwAAAEsAAABLAAAASwAAAEsP%2BcBLAAAASwAAAEsAAABLAA2wSwABcEsAB1BLAAAASwAAAEsAAABLAACgSwAMgEsAAABLAAnQSwAMgEsADIBLAAyASwAAAEsP%2F%2BBLABLASwAGQEsACIBLABOwSwABcEsAAXBLAAFwSwABcEsAAXBLAAFwSwAAAEsAAXBLAAFwSwABcEsAAXBLAAAASwALcEsAC3BLAAAASwAAAEsABJBLAAFwSwAAAEsAAABLAAXQSw%2F9wEsP%2FcBLD%2FnwSwAGQEsAAABLAAAASwAAAEsABkBLD%2F%2FwSwAAAEsP9RBLAABgSwAAAEsAAABLABRQSwAAEEsAAABLD%2FnASwAEoEsAAUBLAAAASwAAAEsAAABLD%2FnASwAGEEsP%2F9BLAAFgSwABYEsAAWBLAAFgSwABgEsAAABMQAAASwAGQAAAAAAAD%2F2ABkADkAyAAAAScAZAAZABkAGQAZABkAGQAZAAAAAAAAAAAAAADZAAAAAAAOAAAAAAAAAAAAAAAEAAAAAAAAAAAAAAAAAAMAZABkAAAAEAAAAAAAZP%2Bc%2F5z%2FnP%2Bc%2F5z%2FnP%2Bc%2F5wACQAJ%2F%2FL%2F8gBkAHkAJwBkAGQAAAAAAGT%2FogAAAAAAAAAAAAAAAADIAGQAAAABAI8AAP%2Bc%2F5wAZAAEAMgAyAAAAGQBkABkAAAAZAEs%2F7UAAAAAAAAAAAAAAAAAAABkAAABLAFBADIAMgAIAAAAAADIAT4AZgBmANkAyADIAAAAKgAqACoAKgCyAOgA6AFOAU4BTgFOAU4BTgFOAU4BTgFOAU4BTgFOAU4BpAIGAiICfgKGAqwC5ANGA24DjAPEBAgEMgRiBKIE3AVcBboGcgb0ByAHYgfKCB4IYgi%2BCTYJhAm2Cd4KKApMCpQK4gswC4oLygwIDFgNKg1eDbAODg5oDrQPKA%2BmD%2BYQEhBUEJAQqhEqEXYRthIKEjgSfBLAExoTdBPQFCoU1BU8FagVzBYEFjYWYBawFv4XUhemGAIYLhhqGJYYsBjgGP4ZKBloGZQZxBnaGe4aNhpoGrga9hteG7QcMhyUHOIdHB1EHWwdlB28HeYeLh52HsAfYh%2FSIEYgviEyIXYhuCJAIpYiuCMOIyIjOCN6I8Ij4CQCJDAkXiSWJOIlNCVgJbwmFCZ%2BJuYnUCe8J%2FgoNChwKKwpoCnMKiYqSiqEKworeiwILGgsuizsLRwtiC30LiguZi6iLtgvDi9GL34vsi%2F4MD4whDDSMRIxYDGuMegyJDJeMpoy3jMiMz4zaDO2NBg0YDSoNNI1LDWeNeg2PjZ8Ntw3GjdON5I31DgQOEI4hjjIOQo5SjmIOcw6HDpsOpo63jugO9w8GDxQPKI8%2BD0yPew%2BOj6MPtQ%2FKD9uP6o%2F%2BkBIQIBAxkECQX5CGEKoQu5DGENCQ3ZDoEPKRBBEYESuRPZFWkW2RgZGdEa0RvZHNkd2R7ZH9kgWSDJITkhqSIZIzEkSSThJXkmESapKAkouSlIAAQAAARcApwARAAAAAAACAAAAAQABAAAAQAAuAAAAAAAAABAAxgABAAAAAAATABIAAAADAAEECQAAAGoAEgADAAEECQABACgAfAADAAEECQACAA4ApAADAAEECQADAEwAsgADAAEECQAEADgA%2FgADAAEECQAFAHgBNgADAAEECQAGADYBrgADAAEECQAIABYB5AADAAEECQAJABYB%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%2FtQAyAAAAAAAAAAAAAAAAAAAAAAAAAAABFwAAAQIBAwADAA0ADgEEAJYBBQEGAQcBCAEJAQoBCwEMAQ0BDgEPARABEQESARMA7wEUARUBFgEXARgBGQEaARsBHAEdAR4BHwEgASEBIgEjASQBJQEmAScBKAEpASoBKwEsAS0BLgEvATABMQEyATMBNAE1ATYBNwE4ATkBOgE7ATwBPQE%2BAT8BQAFBAUIBQwFEAUUBRgFHAUgBSQFKAUsBTAFNAU4BTwFQAVEBUgFTAVQBVQFWAVcBWAFZAVoBWwFcAV0BXgFfAWABYQFiAWMBZAFlAWYBZwFoAWkBagFrAWwBbQFuAW8BcAFxAXIBcwF0AXUBdgF3AXgBeQF6AXsBfAF9AX4BfwGAAYEBggGDAYQBhQGGAYcBiAGJAYoBiwGMAY0BjgGPAZABkQGSAZMBlAGVAZYBlwGYAZkBmgGbAZwBnQGeAZ8BoAGhAaIBowGkAaUBpgGnAagBqQGqAasBrAGtAa4BrwGwAbEBsgGzAbQBtQG2AbcBuAG5AboBuwG8Ab0BvgG%2FAcABwQHCAcMBxAHFAcYBxwHIAckBygHLAcwBzQHOAc8B0AHRAdIB0wHUAdUB1gHXAdgB2QHaAdsB3AHdAd4B3wHgAeEB4gHjAeQB5QHmAecB6AHpAeoB6wHsAe0B7gHvAfAB8QHyAfMB9AH1AfYB9wH4AfkB%2BgH7AfwB%2FQH%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%3D%29%20format%28%27truetype%27%29%2Curl%28data%3Aimage%2Fsvg%2Bxml%3Bbase64%2CPD94bWwgdmVyc2lvbj0iMS4wIiBzdGFuZGFsb25lPSJubyI%2FPgo8IURPQ1RZUEUgc3ZnIFBVQkxJQyAiLS8vVzNDLy9EVEQgU1ZHIDEuMS8vRU4iICJodHRwOi8vd3d3LnczLm9yZy9HcmFwaGljcy9TVkcvMS4xL0RURC9zdmcxMS5kdGQiID4KPHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPgo8bWV0YWRhdGE%2BPC9tZXRhZGF0YT4KPGRlZnM%2BCjxmb250IGlkPSJnbHlwaGljb25zX2hhbGZsaW5nc3JlZ3VsYXIiIGhvcml6LWFkdi14PSIxMjAwIiA%2BCjxmb250LWZhY2UgdW5pdHMtcGVyLWVtPSIxMjAwIiBhc2NlbnQ9Ijk2MCIgZGVzY2VudD0iLTI0MCIgLz4KPG1pc3NpbmctZ2x5cGggaG9yaXotYWR2LXg9IjUwMCIgLz4KPGdseXBoIGhvcml6LWFkdi14PSIwIiAvPgo8Z2x5cGggaG9yaXotYWR2LXg9IjQwMCIgLz4KPGdseXBoIHVuaWNvZGU9IiAiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDAzOyIgaG9yaXotYWR2LXg9IjEzMDAiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDA0OyIgaG9yaXotYWR2LXg9IjQzMyIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeDIwMDU7IiBob3Jpei1hZHYteD0iMzI1IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjAwNjsiIGhvcml6LWFkdi14PSIyMTYiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDA3OyIgaG9yaXotYWR2LXg9IjIxNiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeDIwMDg7IiBob3Jpei1hZHYteD0iMTYyIiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjAwOTsiIGhvcml6LWFkdi14PSIyNjAiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDBhOyIgaG9yaXotYWR2LXg9IjcyIiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjAyZjsiIGhvcml6LWFkdi14PSIyNjAiIC8%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3gyNmZhOyIgZD0iTTc3NCAxMTkzLjVxMTYgLTkuNSAyMC41IC0yN3QtNS41IC0zMy41bC0xMzYgLTE4N2w0NjcgLTc0NmgzMHEyMCAwIDM1IC0xOC41dDE1IC0zOS41di00MmgtMTIwMHY0MnEwIDIxIDE1IDM5LjV0MzUgMTguNWgzMGw0NjggNzQ2bC0xMzUgMTgzcS0xMCAxNiAtNS41IDM0dDIwLjUgMjh0MzQgNS41dDI4IC0yMC41bDExMSAtMTQ4bDExMiAxNTBxOSAxNiAyNyAyMC41dDM0IC01ek02MDAgMjAwaDM3N2wtMTgyIDExMmwtMTk1IDUzNHYtNjQ2eiAiIC8%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDI0OyIgZD0iTTEzMDAgMGgtNTM4bC00MSA0MDBoLTI0MmwtNDEgLTQwMGgtNTM4bDQzMSAxMjAwaDIwOWwtMjEgLTMwMGgxNjJsLTIwIDMwMGgyMDh6TTUxNSA4MDBsLTI3IC0zMDBoMjI0bC0yNyAzMDBoLTE3MHoiIC8%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%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%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%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%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%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDQyOyIgZD0iTTUwMCAxMjAwbDY4MiAtNjgycTggLTggOCAtMTh0LTggLTE4bC00NjQgLTQ2NHEtOCAtOCAtMTggLTh0LTE4IDhsLTY4MiA2ODJsMSA0NzVxMCAxMCA3LjUgMTcuNXQxNy41IDcuNWg0NzR6TTgwMCAxMjAwbDY4MiAtNjgycTggLTggOCAtMTh0LTggLTE4bC00NjQgLTQ2NHEtOCAtOCAtMTggLTh0LTE4IDhsLTU2IDU2bDQyNCA0MjZsLTcwMCA3MDBoMTUwek0zMTkuNSAxMDI0LjVxLTI5LjUgMjkuNSAtNzEgMjkuNXQtNzEgLTI5LjUgdC0yOS41IC03MS41dDI5LjUgLTcxLjV0NzEgLTI5LjV0NzEgMjkuNXQyOS41IDcxLjV0LTI5LjUgNzEuNXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDQzOyIgZD0iTTMwMCAxMjAwaDgyNXE3NSAwIDc1IC03NXYtOTAwcTAgLTI1IC0xOCAtNDNsLTY0IC02NHEtOCAtOCAtMTMgLTUuNXQtNSAxMi41djk1MHEwIDEwIC03LjUgMTcuNXQtMTcuNSA3LjVoLTcwMHEtMjUgMCAtNDMgLTE4bC02NCAtNjRxLTggLTggLTUuNSAtMTN0MTIuNSAtNWg3MDBxMTAgMCAxNy41IC03LjV0Ny41IC0xNy41di05NTBxMCAtMTAgLTcuNSAtMTcuNXQtMTcuNSAtNy41aC04NTBxLTEwIDAgLTE3LjUgNy41dC03LjUgMTcuNXY5NzUgcTAgMjUgMTggNDNsMTM5IDEzOXExOCAxOCA0MyAxOHoiIC8%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDQ5OyIgZD0iTTg3NyAxMjAwbDIgLTU3cS04MyAtMTkgLTExNiAtNDUuNXQtNDAgLTY2LjVsLTEzMiAtODM5cS05IC00OSAxMyAtNjl0OTYgLTI2di05N2gtNTAwdjk3cTE4NiAxNiAyMDAgOThsMTczIDgzMnEzIDE3IDMgMzB0LTEuNSAyMi41dC05IDE3LjV0LTEzLjUgMTIuNXQtMjEuNSAxMHQtMjYgOC41dC0zMy41IDEwcS0xMyAzIC0xOSA1djU3aDQyNXoiIC8%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDY3OyIgZD0iTTM1MCAxMTAwaDM1MHE2MCAwIDEyNyAtMjNsLTE3OCAtMTc3aC0zNDlxLTQxIDAgLTcwLjUgLTI5LjV0LTI5LjUgLTcwLjV2LTUwMHEwIC00MSAyOS41IC03MC41dDcwLjUgLTI5LjVoNTAwcTQxIDAgNzAuNSAyOS41dDI5LjUgNzAuNXY2OWwyMDAgMjAwdi0yMTlxMCAtMTY1IC05Mi41IC0yNTcuNXQtMjU3LjUgLTkyLjVoLTQwMHEtMTY1IDAgLTI1Ny41IDkyLjV0LTkyLjUgMjU3LjV2NDAwcTAgMTY1IDkyLjUgMjU3LjV0MjU3LjUgOTIuNXogTTY0MyA2MzlsMzk1IDM5NXE3IDcgMTcuNSA3dDE3LjUgLTdsMTAxIC0xMDFxNyAtNyA3IC0xNy41dC03IC0xNy41bC01MzEgLTUzMnEtNyAtNyAtMTcuNSAtN3QtMTcuNSA3bC0yNDggMjQ4cS03IDcgLTcgMTcuNXQ3IDE3LjVsMTAxIDEwMXE3IDcgMTcuNSA3dDE3LjUgLTdsMTExIC0xMTFxOCAtNyAxOCAtN3QxOCA3eiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUwNjg7IiBkPSJNMzE4IDkxOGwyNjQgMjY0cTggOCAxOCA4dDE4IC04bDI2MCAtMjY0cTcgLTggNC41IC0xM3QtMTIuNSAtNWgtMTcwdi0yMDBoMjAwdjE3M3EwIDEwIDUgMTJ0MTMgLTVsMjY0IC0yNjBxOCAtNyA4IC0xNy41dC04IC0xNy41bC0yNjQgLTI2NXEtOCAtNyAtMTMgLTV0LTUgMTJ2MTczaC0yMDB2LTIwMGgxNzBxMTAgMCAxMi41IC01dC00LjUgLTEzbC0yNjAgLTI2NHEtOCAtOCAtMTggLTh0LTE4IDhsLTI2NCAyNjRxLTggOCAtNS41IDEzIHQxMi41IDVoMTc1djIwMGgtMjAwdi0xNzNxMCAtMTAgLTUgLTEydC0xMyA1bC0yNjQgMjY1cS04IDcgLTggMTcuNXQ4IDE3LjVsMjY0IDI2MHE4IDcgMTMgNXQ1IC0xMnYtMTczaDIwMHYyMDBoLTE3NXEtMTAgMCAtMTIuNSA1dDUuNSAxM3oiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDY5OyIgZD0iTTI1MCAxMTAwaDEwMHEyMSAwIDM1LjUgLTE0LjV0MTQuNSAtMzUuNXYtNDM4bDQ2NCA0NTNxMTUgMTQgMjUuNSAxMHQxMC41IC0yNXYtMTAwMHEwIC0yMSAtMTAuNSAtMjV0LTI1LjUgMTBsLTQ2NCA0NTN2LTQzOHEwIC0yMSAtMTQuNSAtMzUuNXQtMzUuNSAtMTQuNWgtMTAwcS0yMSAwIC0zNS41IDE0LjV0LTE0LjUgMzUuNXYxMDAwcTAgMjEgMTQuNSAzNS41dDM1LjUgMTQuNXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDcwOyIgZD0iTTUwIDExMDBoMTAwcTIxIDAgMzUuNSAtMTQuNXQxNC41IC0zNS41di00MzhsNDY0IDQ1M3ExNSAxNCAyNS41IDEwdDEwLjUgLTI1di00MzhsNDY0IDQ1M3ExNSAxNCAyNS41IDEwdDEwLjUgLTI1di0xMDAwcTAgLTIxIC0xMC41IC0yNXQtMjUuNSAxMGwtNDY0IDQ1M3YtNDM4cTAgLTIxIC0xMC41IC0yNXQtMjUuNSAxMGwtNDY0IDQ1M3YtNDM4cTAgLTIxIC0xNC41IC0zNS41dC0zNS41IC0xNC41aC0xMDBxLTIxIDAgLTM1LjUgMTQuNSB0LTE0LjUgMzUuNXYxMDAwcTAgMjEgMTQuNSAzNS41dDM1LjUgMTQuNXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDcxOyIgZD0iTTEyMDAgMTA1MHYtMTAwMHEwIC0yMSAtMTAuNSAtMjV0LTI1LjUgMTBsLTQ2NCA0NTN2LTQzOHEwIC0yMSAtMTAuNSAtMjV0LTI1LjUgMTBsLTQ5MiA0ODBxLTE1IDE0IC0xNSAzNXQxNSAzNWw0OTIgNDgwcTE1IDE0IDI1LjUgMTB0MTAuNSAtMjV2LTQzOGw0NjQgNDUzcTE1IDE0IDI1LjUgMTB0MTAuNSAtMjV6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA3MjsiIGQ9Ik0yNDMgMTA3NGw4MTQgLTQ5OHExOCAtMTEgMTggLTI2dC0xOCAtMjZsLTgxNCAtNDk4cS0xOCAtMTEgLTMwLjUgLTR0LTEyLjUgMjh2MTAwMHEwIDIxIDEyLjUgMjh0MzAuNSAtNHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDczOyIgZD0iTTI1MCAxMDAwaDIwMHEyMSAwIDM1LjUgLTE0LjV0MTQuNSAtMzUuNXYtODAwcTAgLTIxIC0xNC41IC0zNS41dC0zNS41IC0xNC41aC0yMDBxLTIxIDAgLTM1LjUgMTQuNXQtMTQuNSAzNS41djgwMHEwIDIxIDE0LjUgMzUuNXQzNS41IDE0LjV6TTY1MCAxMDAwaDIwMHEyMSAwIDM1LjUgLTE0LjV0MTQuNSAtMzUuNXYtODAwcTAgLTIxIC0xNC41IC0zNS41dC0zNS41IC0xNC41aC0yMDBxLTIxIDAgLTM1LjUgMTQuNXQtMTQuNSAzNS41djgwMCBxMCAyMSAxNC41IDM1LjV0MzUuNSAxNC41eiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUwNzQ7IiBkPSJNMTEwMCA5NTB2LTgwMHEwIC0yMSAtMTQuNSAtMzUuNXQtMzUuNSAtMTQuNWgtODAwcS0yMSAwIC0zNS41IDE0LjV0LTE0LjUgMzUuNXY4MDBxMCAyMSAxNC41IDM1LjV0MzUuNSAxNC41aDgwMHEyMSAwIDM1LjUgLTE0LjV0MTQuNSAtMzUuNXoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDc5OyIgZD0iTTg4NSA5MDBsLTM1MiAtMzUzbDM1MiAtMzUzbC0xOTcgLTE5OGwtNTUyIDU1Mmw1NTIgNTUweiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUwODA7IiBkPSJNMTA2NCA1NDdsLTU1MSAtNTUxbC0xOTggMTk4bDM1MyAzNTNsLTM1MyAzNTNsMTk4IDE5OHoiIC8%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDg2OyIgZD0iTTYwMCAxMTc3cTExNyAwIDIyNCAtNDUuNXQxODQuNSAtMTIzdDEyMyAtMTg0LjV0NDUuNSAtMjI0dC00NS41IC0yMjR0LTEyMyAtMTg0LjV0LTE4NC41IC0xMjN0LTIyNCAtNDUuNXQtMjI0IDQ1LjV0LTE4NC41IDEyM3QtMTIzIDE4NC41dC00NS41IDIyNHQ0NS41IDIyNHQxMjMgMTg0LjV0MTg0LjUgMTIzdDIyNCA0NS41ek02NzUgMTAwMGgtMTUwcS0xMCAwIC0xNy41IC03LjV0LTcuNSAtMTcuNXYtMTUwcTAgLTEwIDcuNSAtMTcuNSB0MTcuNSAtNy41aDE1MHExMCAwIDE3LjUgNy41dDcuNSAxNy41djE1MHEwIDEwIC03LjUgMTcuNXQtMTcuNSA3LjV6TTY3NSA3MDBoLTI1MHEtMTAgMCAtMTcuNSAtNy41dC03LjUgLTE3LjV2LTUwcTAgLTEwIDcuNSAtMTcuNXQxNy41IC03LjVoNzV2LTIwMGgtNzVxLTEwIDAgLTE3LjUgLTcuNXQtNy41IC0xNy41di01MHEwIC0xMCA3LjUgLTE3LjV0MTcuNSAtNy41aDM1MHExMCAwIDE3LjUgNy41dDcuNSAxNy41djUwcTAgMTAgLTcuNSAxNy41IHQtMTcuNSA3LjVoLTc1djI3NXEwIDEwIC03LjUgMTcuNXQtMTcuNSA3LjV6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA4NzsiIGQ9Ik01MjUgMTIwMGgxNTBxMTAgMCAxNy41IC03LjV0Ny41IC0xNy41di0xOTRxMTAzIC0yNyAxNzguNSAtMTAyLjV0MTAyLjUgLTE3OC41aDE5NHExMCAwIDE3LjUgLTcuNXQ3LjUgLTE3LjV2LTE1MHEwIC0xMCAtNy41IC0xNy41dC0xNy41IC03LjVoLTE5NHEtMjcgLTEwMyAtMTAyLjUgLTE3OC41dC0xNzguNSAtMTAyLjV2LTE5NHEwIC0xMCAtNy41IC0xNy41dC0xNy41IC03LjVoLTE1MHEtMTAgMCAtMTcuNSA3LjV0LTcuNSAxNy41djE5NCBxLTEwMyAyNyAtMTc4LjUgMTAyLjV0LTEwMi41IDE3OC41aC0xOTRxLTEwIDAgLTE3LjUgNy41dC03LjUgMTcuNXYxNTBxMCAxMCA3LjUgMTcuNXQxNy41IDcuNWgxOTRxMjcgMTAzIDEwMi41IDE3OC41dDE3OC41IDEwMi41djE5NHEwIDEwIDcuNSAxNy41dDE3LjUgNy41ek03MDAgODkzdi0xNjhxMCAtMTAgLTcuNSAtMTcuNXQtMTcuNSAtNy41aC0xNTBxLTEwIDAgLTE3LjUgNy41dC03LjUgMTcuNXYxNjhxLTY4IC0yMyAtMTE5IC03NCB0LTc0IC0xMTloMTY4cTEwIDAgMTcuNSAtNy41dDcuNSAtMTcuNXYtMTUwcTAgLTEwIC03LjUgLTE3LjV0LTE3LjUgLTcuNWgtMTY4cTIzIC02OCA3NCAtMTE5dDExOSAtNzR2MTY4cTAgMTAgNy41IDE3LjV0MTcuNSA3LjVoMTUwcTEwIDAgMTcuNSAtNy41dDcuNSAtMTcuNXYtMTY4cTY4IDIzIDExOSA3NHQ3NCAxMTloLTE2OHEtMTAgMCAtMTcuNSA3LjV0LTcuNSAxNy41djE1MHEwIDEwIDcuNSAxNy41dDE3LjUgNy41aDE2OCBxLTIzIDY4IC03NCAxMTl0LTExOSA3NHoiIC8%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDk2OyIgZD0iTTg1MCAxMjAwaDMwMHEyMSAwIDM1LjUgLTE0LjV0MTQuNSAtMzUuNXYtMzAwcTAgLTIxIC0xMC41IC0yNXQtMjQuNSAxMGwtOTQgOTRsLTI0OSAtMjQ5cS04IC03IC0xOCAtN3QtMTggN2wtMTA2IDEwNnEtNyA4IC03IDE4dDcgMThsMjQ5IDI0OWwtOTQgOTRxLTE0IDE0IC0xMCAyNC41dDI1IDEwLjV6TTM1MCAwaC0zMDBxLTIxIDAgLTM1LjUgMTQuNXQtMTQuNSAzNS41djMwMHEwIDIxIDEwLjUgMjV0MjQuNSAtMTBsOTQgLTk0bDI0OSAyNDkgcTggNyAxOCA3dDE4IC03bDEwNiAtMTA2cTcgLTggNyAtMTh0LTcgLTE4bC0yNDkgLTI0OWw5NCAtOTRxMTQgLTE0IDEwIC0yNC41dC0yNSAtMTAuNXoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTAxOyIgZD0iTTYwMCAxMTc3cTExNyAwIDIyNCAtNDUuNXQxODQuNSAtMTIzdDEyMyAtMTg0LjV0NDUuNSAtMjI0dC00NS41IC0yMjR0LTEyMyAtMTg0LjV0LTE4NC41IC0xMjN0LTIyNCAtNDUuNXQtMjI0IDQ1LjV0LTE4NC41IDEyM3QtMTIzIDE4NC41dC00NS41IDIyNHQ0NS41IDIyNHQxMjMgMTg0LjV0MTg0LjUgMTIzdDIyNCA0NS41ek03MDQgOTAwaC0yMDhxLTIwIDAgLTMyIC0xNC41dC04IC0zNC41bDU4IC0zMDJxNCAtMjAgMjEuNSAtMzQuNSB0MzcuNSAtMTQuNWg1NHEyMCAwIDM3LjUgMTQuNXQyMS41IDM0LjVsNTggMzAycTQgMjAgLTggMzQuNXQtMzIgMTQuNXpNNjc1IDQwMGgtMTUwcS0xMCAwIC0xNy41IC03LjV0LTcuNSAtMTcuNXYtMTUwcTAgLTEwIDcuNSAtMTcuNXQxNy41IC03LjVoMTUwcTEwIDAgMTcuNSA3LjV0Ny41IDE3LjV2MTUwcTAgMTAgLTcuNSAxNy41dC0xNy41IDcuNXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTAyOyIgZD0iTTI2MCAxMjAwcTkgMCAxOSAtMnQxNSAtNGw1IC0ycTIyIC0xMCA0NCAtMjNsMTk2IC0xMThxMjEgLTEzIDM2IC0yNHEyOSAtMjEgMzcgLTEycTExIDEzIDQ5IDM1bDE5NiAxMThxMjIgMTMgNDUgMjNxMTcgNyAzOCA3cTIzIDAgNDcgLTE2LjV0MzcgLTMzLjVsMTMgLTE2cTE0IC0yMSAxOCAtNDVsMjUgLTEyM2w4IC00NHExIC05IDguNSAtMTQuNXQxNy41IC01LjVoNjFxMTAgMCAxNy41IC03LjV0Ny41IC0xNy41di01MCBxMCAtMTAgLTcuNSAtMTcuNXQtMTcuNSAtNy41aC01MHEtMTAgMCAtMTcuNSAtNy41dC03LjUgLTE3LjV2LTE3NWgtNDAwdjMwMGgtMjAwdi0zMDBoLTQwMHYxNzVxMCAxMCAtNy41IDE3LjV0LTE3LjUgNy41aC01MHEtMTAgMCAtMTcuNSA3LjV0LTcuNSAxNy41djUwcTAgMTAgNy41IDE3LjV0MTcuNSA3LjVoNjFxMTEgMCAxOCAzdDcgOHEwIDQgOSA1MmwyNSAxMjhxNSAyNSAxOSA0NXEyIDMgNSA3dDEzLjUgMTV0MjEuNSAxOS41dDI2LjUgMTUuNSB0MjkuNSA3ek05MTUgMTA3OWwtMTY2IC0xNjJxLTcgLTcgLTUgLTEydDEyIC01aDIxOXExMCAwIDE1IDd0MiAxN2wtNTEgMTQ5cS0zIDEwIC0xMSAxMnQtMTUgLTZ6TTQ2MyA5MTdsLTE3NyAxNTdxLTggNyAtMTYgNXQtMTEgLTEybC01MSAtMTQzcS0zIC0xMCAyIC0xN3QxNSAtN2gyMzFxMTEgMCAxMi41IDV0LTUuNSAxMnpNNTAwIDBoLTM3NXEtMTAgMCAtMTcuNSA3LjV0LTcuNSAxNy41djM3NWg0MDB2LTQwMHpNMTEwMCA0MDB2LTM3NSBxMCAtMTAgLTcuNSAtMTcuNXQtMTcuNSAtNy41aC0zNzV2NDAwaDQwMHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTA3OyIgZD0iTS05MCAxMDBsNjQyIDEwNjZxMjAgMzEgNDggMjguNXQ0OCAtMzUuNWw2NDIgLTEwNTZxMjEgLTMyIDcuNSAtNjcuNXQtNTAuNSAtMzUuNWgtMTI5NHEtMzcgMCAtNTAuNSAzNHQ3LjUgNjZ6TTE1NSAyMDBoMzQ1djc1cTAgMTAgNy41IDE3LjV0MTcuNSA3LjVoMTUwcTEwIDAgMTcuNSAtNy41dDcuNSAtMTcuNXYtNzVoMzQ1bC00NDUgNzIzek00OTYgNzAwaDIwOHEyMCAwIDMyIC0xNC41dDggLTM0LjVsLTU4IC0yNTIgcS00IC0yMCAtMjEuNSAtMzQuNXQtMzcuNSAtMTQuNWgtNTRxLTIwIDAgLTM3LjUgMTQuNXQtMjEuNSAzNC41bC01OCAyNTJxLTQgMjAgOCAzNC41dDMyIDE0LjV6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTEwODsiIGQ9Ik02NTAgMTIwMHE2MiAwIDEwNiAtNDR0NDQgLTEwNnYtMzM5bDM2MyAtMzI1cTE1IC0xNCAyNiAtMzguNXQxMSAtNDQuNXYtNDFxMCAtMjAgLTEyIC0yNi41dC0yOSA1LjVsLTM1OSAyNDl2LTI2M3ExMDAgLTkzIDEwMCAtMTEzdi02NHEwIC0yMSAtMTMgLTI5dC0zMiAxbC0yMDUgMTI4bC0yMDUgLTEyOHEtMTkgLTkgLTMyIC0xdC0xMyAyOXY2NHEwIDIwIDEwMCAxMTN2MjYzbC0zNTkgLTI0OXEtMTcgLTEyIC0yOSAtNS41dC0xMiAyNi41djQxIHEwIDIwIDExIDQ0LjV0MjYgMzguNWwzNjMgMzI1djMzOXEwIDYyIDQ0IDEwNnQxMDYgNDR6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTEwOTsiIGQ9Ik04NTAgMTIwMGgxMDBxMjEgMCAzNS41IC0xNC41dDE0LjUgLTM1LjV2LTUwaDUwcTIxIDAgMzUuNSAtMTQuNXQxNC41IC0zNS41di0xNTBoLTExMDB2MTUwcTAgMjEgMTQuNSAzNS41dDM1LjUgMTQuNWg1MHY1MHEwIDIxIDE0LjUgMzUuNXQzNS41IDE0LjVoMTAwcTIxIDAgMzUuNSAtMTQuNXQxNC41IC0zNS41di01MGg1MDB2NTBxMCAyMSAxNC41IDM1LjV0MzUuNSAxNC41ek0xMTAwIDgwMHYtNzUwcTAgLTIxIC0xNC41IC0zNS41IHQtMzUuNSAtMTQuNWgtMTAwMHEtMjEgMCAtMzUuNSAxNC41dC0xNC41IDM1LjV2NzUwaDExMDB6TTEwMCA2MDB2LTEwMGgxMDB2MTAwaC0xMDB6TTMwMCA2MDB2LTEwMGgxMDB2MTAwaC0xMDB6TTUwMCA2MDB2LTEwMGgxMDB2MTAwaC0xMDB6TTcwMCA2MDB2LTEwMGgxMDB2MTAwaC0xMDB6TTkwMCA2MDB2LTEwMGgxMDB2MTAwaC0xMDB6TTEwMCA0MDB2LTEwMGgxMDB2MTAwaC0xMDB6TTMwMCA0MDB2LTEwMGgxMDB2MTAwaC0xMDB6TTUwMCA0MDAgdi0xMDBoMTAwdjEwMGgtMTAwek03MDAgNDAwdi0xMDBoMTAwdjEwMGgtMTAwek05MDAgNDAwdi0xMDBoMTAwdjEwMGgtMTAwek0xMDAgMjAwdi0xMDBoMTAwdjEwMGgtMTAwek0zMDAgMjAwdi0xMDBoMTAwdjEwMGgtMTAwek01MDAgMjAwdi0xMDBoMTAwdjEwMGgtMTAwek03MDAgMjAwdi0xMDBoMTAwdjEwMGgtMTAwek05MDAgMjAwdi0xMDBoMTAwdjEwMGgtMTAweiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUxMTA7IiBkPSJNMTEzNSAxMTY1bDI0OSAtMjMwcTE1IC0xNCAxNSAtMzV0LTE1IC0zNWwtMjQ5IC0yMzBxLTE0IC0xNCAtMjQuNSAtMTB0LTEwLjUgMjV2MTUwaC0xNTlsLTYwMCAtNjAwaC0yOTFxLTIxIDAgLTM1LjUgMTQuNXQtMTQuNSAzNS41djEwMHEwIDIxIDE0LjUgMzUuNXQzNS41IDE0LjVoMjA5bDYwMCA2MDBoMjQxdjE1MHEwIDIxIDEwLjUgMjV0MjQuNSAtMTB6TTUyMiA4MTlsLTE0MSAtMTQxbC0xMjIgMTIyaC0yMDlxLTIxIDAgLTM1LjUgMTQuNSB0LTE0LjUgMzUuNXYxMDBxMCAyMSAxNC41IDM1LjV0MzUuNSAxNC41aDI5MXpNMTEzNSA1NjVsMjQ5IC0yMzBxMTUgLTE0IDE1IC0zNXQtMTUgLTM1bC0yNDkgLTIzMHEtMTQgLTE0IC0yNC41IC0xMHQtMTAuNSAyNXYxNTBoLTI0MWwtMTgxIDE4MWwxNDEgMTQxbDEyMiAtMTIyaDE1OXYxNTBxMCAyMSAxMC41IDI1dDI0LjUgLTEweiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUxMTE7IiBkPSJNMTAwIDExMDBoMTAwMHE0MSAwIDcwLjUgLTI5LjV0MjkuNSAtNzAuNXYtNjAwcTAgLTQxIC0yOS41IC03MC41dC03MC41IC0yOS41aC01OTZsLTMwNCAtMzAwdjMwMGgtMTAwcS00MSAwIC03MC41IDI5LjV0LTI5LjUgNzAuNXY2MDBxMCA0MSAyOS41IDcwLjV0NzAuNSAyOS41eiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUxMTI7IiBkPSJNMTUwIDEyMDBoMjAwcTIxIDAgMzUuNSAtMTQuNXQxNC41IC0zNS41di0yNTBoLTMwMHYyNTBxMCAyMSAxNC41IDM1LjV0MzUuNSAxNC41ek04NTAgMTIwMGgyMDBxMjEgMCAzNS41IC0xNC41dDE0LjUgLTM1LjV2LTI1MGgtMzAwdjI1MHEwIDIxIDE0LjUgMzUuNXQzNS41IDE0LjV6TTExMDAgODAwdi0zMDBxMCAtNDEgLTMgLTc3LjV0LTE1IC04OS41dC0zMiAtOTZ0LTU4IC04OXQtODkgLTc3dC0xMjkgLTUxdC0xNzQgLTIwdC0xNzQgMjAgdC0xMjkgNTF0LTg5IDc3dC01OCA4OXQtMzIgOTZ0LTE1IDg5LjV0LTMgNzcuNXYzMDBoMzAwdi0yNTB2LTI3di00Mi41dDEuNSAtNDF0NSAtMzh0MTAgLTM1dDE2LjUgLTMwdDI1LjUgLTI0LjV0MzUgLTE5dDQ2LjUgLTEydDYwIC00dDYwIDQuNXQ0Ni41IDEyLjV0MzUgMTkuNXQyNSAyNS41dDE3IDMwLjV0MTAgMzV0NSAzOHQyIDQwLjV0LTAuNSA0MnYyNXYyNTBoMzAweiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUxMTM7IiBkPSJNMTEwMCA0MTFsLTE5OCAtMTk5bC0zNTMgMzUzbC0zNTMgLTM1M2wtMTk3IDE5OWw1NTEgNTUxeiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUxMTQ7IiBkPSJNMTEwMSA3ODlsLTU1MCAtNTUxbC01NTEgNTUxbDE5OCAxOTlsMzUzIC0zNTNsMzUzIDM1M3oiIC8%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTI2OyIgZD0iTTYwMCAxMTAwaDI1MHEyMyAwIDQ1IC0xNi41dDM4IC00MC41bDIzOCAtMzQ0cTI5IC0yOSAyOSAtNzR2LTEwMHEwIC00NCAtMzAgLTg0LjV0LTcwIC00MC41aC0zMjhxMjggLTExOCAyOCAtMTI1di0xNTBxMCAtNDQgLTMwIC04NC41dC03MCAtNDAuNWgtNTBxLTI3IDAgLTUxLjUgMjB0LTM3LjUgNDhsLTk2IDE5OGwtMTQ1IDE5NnEtMjAgMjcgLTIwIDYzdjQwMHEwIDM5IDI3LjUgNTd0NzIuNSAxOGg2MXExMjQgMTAwIDEzOSAxMDB6IE01MCAxMDAwaDEwMHEyMSAwIDM1LjUgLTE0LjV0MTQuNSAtMzUuNXYtNTAwcTAgLTIxIC0xNC41IC0zNS41dC0zNS41IC0xNC41aC0xMDBxLTIxIDAgLTM1LjUgMTQuNXQtMTQuNSAzNS41djUwMHEwIDIxIDE0LjUgMzUuNXQzNS41IDE0LjV6TTYzNiAxMDAwbC0xMzYgLTEwMGgtMTAwdi0zNzVsMTUwIC0yMTNsMTAwIC0yMTJoNTB2MTc1bC01MCAyMjVoNDUwdjEyNWwtMjUwIDM3NWgtMjE0eiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUxMjc7IiBkPSJNMzU2IDg3M2wzNjMgMjMwcTMxIDE2IDUzIC02bDExMCAtMTEycTEzIC0xMyAxMy41IC0zMnQtMTEuNSAtMzRsLTg0IC0xMjFoMzAycTg0IDAgMTM4IC0zOHQ1NCAtMTEwdC01NSAtMTExdC0xMzkgLTM5aC0xMDZsLTEzMSAtMzM5cS02IC0yMSAtMTkuNSAtNDF0LTI4LjUgLTIwaC0zNDJxLTcgMCAtOTAgODF0LTgzIDk0djUyNXEwIDE3IDE0IDM1LjV0MjggMjguNXpNNDAwIDc5MnYtNTAzbDEwMCAtODloMjkzbDEzMSAzMzkgcTYgMjEgMTkuNSA0MXQyOC41IDIwaDIwM3EyMSAwIDMwLjUgMjV0MC41IDUwdC0zMSAyNWgtNDU2aC03aC02aC01LjV0LTYgMC41dC01IDEuNXQtNSAydC00IDIuNXQtNCA0dC0yLjUgNC41cS0xMiAyNSA1IDQ3bDE0NiAxODNsLTg2IDgzek01MCA4MDBoMTAwcTIxIDAgMzUuNSAtMTQuNXQxNC41IC0zNS41di01MDBxMCAtMjEgLTE0LjUgLTM1LjV0LTM1LjUgLTE0LjVoLTEwMHEtMjEgMCAtMzUuNSAxNC41dC0xNC41IDM1LjV2NTAwIHEwIDIxIDE0LjUgMzUuNXQzNS41IDE0LjV6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTEyODsiIGQ9Ik00NzUgMTEwM2wzNjYgLTIzMHEyIC0xIDYgLTMuNXQxNCAtMTAuNXQxOCAtMTYuNXQxNC41IC0yMHQ2LjUgLTIyLjV2LTUyNXEwIC0xMyAtODYgLTk0dC05MyAtODFoLTM0MnEtMTUgMCAtMjguNSAyMHQtMTkuNSA0MWwtMTMxIDMzOWgtMTA2cS04NSAwIC0xMzkuNSAzOXQtNTQuNSAxMTF0NTQgMTEwdDEzOCAzOGgzMDJsLTg1IDEyMXEtMTEgMTUgLTEwLjUgMzR0MTMuNSAzMmwxMTAgMTEycTIyIDIyIDUzIDZ6TTM3MCA5NDVsMTQ2IC0xODMgcTE3IC0yMiA1IC00N3EtMiAtMiAtMy41IC00LjV0LTQgLTR0LTQgLTIuNXQtNSAtMnQtNSAtMS41dC02IC0wLjVoLTZoLTYuNWgtNmgtNDc1di0xMDBoMjIxcTE1IDAgMjkgLTIwdDIwIC00MWwxMzAgLTMzOWgyOTRsMTA2IDg5djUwM2wtMzQyIDIzNnpNMTA1MCA4MDBoMTAwcTIxIDAgMzUuNSAtMTQuNXQxNC41IC0zNS41di01MDBxMCAtMjEgLTE0LjUgLTM1LjV0LTM1LjUgLTE0LjVoLTEwMHEtMjEgMCAtMzUuNSAxNC41dC0xNC41IDM1LjUgdjUwMHEwIDIxIDE0LjUgMzUuNXQzNS41IDE0LjV6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTEyOTsiIGQ9Ik01NTAgMTI5NHE3MiAwIDExMSAtNTV0MzkgLTEzOXYtMTA2bDMzOSAtMTMxcTIxIC02IDQxIC0xOS41dDIwIC0yOC41di0zNDJxMCAtNyAtODEgLTkwdC05NCAtODNoLTUyNXEtMTcgMCAtMzUuNSAxNHQtMjguNSAyOGwtOSAxNGwtMjMwIDM2M3EtMTYgMzEgNiA1M2wxMTIgMTEwcTEzIDEzIDMyIDEzLjV0MzQgLTExLjVsMTIxIC04NHYzMDJxMCA4NCAzOCAxMzh0MTEwIDU0ek02MDAgOTcydjIwM3EwIDIxIC0yNSAzMC41dC01MCAwLjUgdC0yNSAtMzF2LTQ1NnYtN3YtNnYtNS41dC0wLjUgLTZ0LTEuNSAtNXQtMiAtNXQtMi41IC00dC00IC00dC00LjUgLTIuNXEtMjUgLTEyIC00NyA1bC0xODMgMTQ2bC04MyAtODZsMjM2IC0zMzloNTAzbDg5IDEwMHYyOTNsLTMzOSAxMzFxLTIxIDYgLTQxIDE5LjV0LTIwIDI4LjV6TTQ1MCAyMDBoNTAwcTIxIDAgMzUuNSAtMTQuNXQxNC41IC0zNS41di0xMDBxMCAtMjEgLTE0LjUgLTM1LjV0LTM1LjUgLTE0LjVoLTUwMCBxLTIxIDAgLTM1LjUgMTQuNXQtMTQuNSAzNS41djEwMHEwIDIxIDE0LjUgMzUuNXQzNS41IDE0LjV6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTEzMDsiIGQ9Ik0zNTAgMTEwMGg1MDBxMjEgMCAzNS41IDE0LjV0MTQuNSAzNS41djEwMHEwIDIxIC0xNC41IDM1LjV0LTM1LjUgMTQuNWgtNTAwcS0yMSAwIC0zNS41IC0xNC41dC0xNC41IC0zNS41di0xMDBxMCAtMjEgMTQuNSAtMzUuNXQzNS41IC0xNC41ek02MDAgMzA2di0xMDZxMCAtODQgLTM5IC0xMzl0LTExMSAtNTV0LTExMCA1NHQtMzggMTM4djMwMmwtMTIxIC04NHEtMTUgLTEyIC0zNCAtMTEuNXQtMzIgMTMuNWwtMTEyIDExMCBxLTIyIDIyIC02IDUzbDIzMCAzNjNxMSAyIDMuNSA2dDEwLjUgMTMuNXQxNi41IDE3dDIwIDEzLjV0MjIuNSA2aDUyNXExMyAwIDk0IC04M3Q4MSAtOTB2LTM0MnEwIC0xNSAtMjAgLTI4LjV0LTQxIC0xOS41ek0zMDggOTAwbC0yMzYgLTMzOWw4MyAtODZsMTgzIDE0NnEyMiAxNyA0NyA1cTIgLTEgNC41IC0yLjV0NCAtNHQyLjUgLTR0MiAtNXQxLjUgLTV0MC41IC02di01LjV2LTZ2LTd2LTQ1NnEwIC0yMiAyNSAtMzF0NTAgMC41dDI1IDMwLjUgdjIwM3EwIDE1IDIwIDI4LjV0NDEgMTkuNWwzMzkgMTMxdjI5M2wtODkgMTAwaC01MDN6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTEzMTsiIGQ9Ik02MDAgMTE3OHExMTggMCAyMjUgLTQ1LjV0MTg0LjUgLTEyM3QxMjMgLTE4NC41dDQ1LjUgLTIyNXQtNDUuNSAtMjI1dC0xMjMgLTE4NC41dC0xODQuNSAtMTIzdC0yMjUgLTQ1LjV0LTIyNSA0NS41dC0xODQuNSAxMjN0LTEyMyAxODQuNXQtNDUuNSAyMjV0NDUuNSAyMjV0MTIzIDE4NC41dDE4NC41IDEyM3QyMjUgNDUuNXpNOTE0IDYzMmwtMjc1IDIyM3EtMTYgMTMgLTI3LjUgOHQtMTEuNSAtMjZ2LTEzN2gtMjc1IHEtMTAgMCAtMTcuNSAtNy41dC03LjUgLTE3LjV2LTE1MHEwIC0xMCA3LjUgLTE3LjV0MTcuNSAtNy41aDI3NXYtMTM3cTAgLTIxIDExLjUgLTI2dDI3LjUgOGwyNzUgMjIzcTE2IDEzIDE2IDMydC0xNiAzMnoiIC8%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%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%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%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%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%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTYyOyIgZD0iTTc5MyAxMTgybDkgLTlxOCAtMTAgNSAtMjdxLTMgLTExIC03OSAtMjI1LjV0LTc4IC0yMjEuNWwzMDAgMXEyNCAwIDMyLjUgLTE3LjV0LTUuNSAtMzUuNXEtMSAwIC0xMzMuNSAtMTU1dC0yNjcgLTMxMi41dC0xMzguNSAtMTYyLjVxLTEyIC0xNSAtMjYgLTE1aC05bC05IDhxLTkgMTEgLTQgMzJxMiA5IDQyIDEyMy41dDc5IDIyNC41bDM5IDExMGgtMzAycS0yMyAwIC0zMSAxOXEtMTAgMjEgNiA0MXE3NSA4NiAyMDkuNSAyMzcuNSB0MjI4IDI1N3Q5OC41IDExMS41cTkgMTYgMjUgMTZoOXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTYzOyIgZD0iTTM1MCAxMTAwaDQwMHEyMSAwIDM1LjUgLTE0LjV0MTQuNSAtMzUuNXYtMTAwcTAgLTIxIC0xNC41IC0zNS41dC0zNS41IC0xNC41aC00NTBxLTQxIDAgLTcwLjUgLTI5LjV0LTI5LjUgLTcwLjV2LTUwMHEwIC00MSAyOS41IC03MC41dDcwLjUgLTI5LjVoNDUwcTIxIDAgMzUuNSAtMTQuNXQxNC41IC0zNS41di0xMDBxMCAtMjEgLTE0LjUgLTM1LjV0LTM1LjUgLTE0LjVoLTQwMHEtMTY1IDAgLTI1Ny41IDkyLjV0LTkyLjUgMjU3LjV2NDAwIHEwIDE2NSA5Mi41IDI1Ny41dDI1Ny41IDkyLjV6TTkzOCA4NjdsMzI0IC0yODRxMTYgLTE0IDE2IC0zM3QtMTYgLTMzbC0zMjQgLTI4NHEtMTYgLTE0IC0yNyAtOXQtMTEgMjZ2MTUwaC0yNTBxLTIxIDAgLTM1LjUgMTQuNXQtMTQuNSAzNS41djIwMHEwIDIxIDE0LjUgMzUuNXQzNS41IDE0LjVoMjUwdjE1MHEwIDIxIDExIDI2dDI3IC05eiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUxNjQ7IiBkPSJNNzUwIDEyMDBoNDAwcTIxIDAgMzUuNSAtMTQuNXQxNC41IC0zNS41di00MDBxMCAtMjEgLTEwLjUgLTI1dC0yNC41IDEwbC0xMDkgMTA5bC0zMTIgLTMxMnEtMTUgLTE1IC0zNS41IC0xNXQtMzUuNSAxNWwtMTQxIDE0MXEtMTUgMTUgLTE1IDM1LjV0MTUgMzUuNWwzMTIgMzEybC0xMDkgMTA5cS0xNCAxNCAtMTAgMjQuNXQyNSAxMC41ek00NTYgOTAwaC0xNTZxLTQxIDAgLTcwLjUgLTI5LjV0LTI5LjUgLTcwLjV2LTUwMCBxMCAtNDEgMjkuNSAtNzAuNXQ3MC41IC0yOS41aDUwMHE0MSAwIDcwLjUgMjkuNXQyOS41IDcwLjV2MTQ4bDIwMCAyMDB2LTI5OHEwIC0xNjUgLTkzLjUgLTI1Ny41dC0yNTYuNSAtOTIuNWgtNDAwcS0xNjUgMCAtMjU3LjUgOTIuNXQtOTIuNSAyNTcuNXY0MDBxMCAxNjUgOTIuNSAyNTcuNXQyNTcuNSA5Mi41aDMwMHoiIC8%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%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%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%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%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%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%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%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%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMjIxOyIgZD0iTTQ4MCAxMTY1bDY4MiAtNjgzcTMxIC0zMSAzMSAtNzUuNXQtMzEgLTc1LjVsLTEzMSAtMTMxaC00ODFsLTUxNyA1MThxLTMyIDMxIC0zMiA3NS41dDMyIDc1LjVsMjk1IDI5NnEzMSAzMSA3NS41IDMxdDc2LjUgLTMxek0xMDggNzk0bDM0MiAtMzQybDMwMyAzMDRsLTM0MSAzNDF6TTI1MCAxMDBoODAwcTIxIDAgMzUuNSAtMTQuNXQxNC41IC0zNS41di01MGgtOTAwdjUwcTAgMjEgMTQuNSAzNS41dDM1LjUgMTQuNXoiIC8%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%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMjQ0OyIgZD0iTTEyMDAgMTEwMGgtMTIwMHYxMDBoMTIwMHYtMTAwek01MCAxMDAwaDQwMHEyMSAwIDM1LjUgLTE0LjV0MTQuNSAtMzUuNXYtOTAwcTAgLTIxIC0xNC41IC0zNS41dC0zNS41IC0xNC41aC00MDBxLTIxIDAgLTM1LjUgMTQuNXQtMTQuNSAzNS41djkwMHEwIDIxIDE0LjUgMzUuNXQzNS41IDE0LjV6TTY1MCAxMDAwaDQwMHEyMSAwIDM1LjUgLTE0LjV0MTQuNSAtMzUuNXYtNDAwcTAgLTIxIC0xNC41IC0zNS41dC0zNS41IC0xNC41aC00MDAgcS0yMSAwIC0zNS41IDE0LjV0LTE0LjUgMzUuNXY0MDBxMCAyMSAxNC41IDM1LjV0MzUuNSAxNC41ek03MDAgOTAwdi0zMDBoMzAwdjMwMGgtMzAweiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUyNDU7IiBkPSJNNTAgMTIwMGg0MDBxMjEgMCAzNS41IC0xNC41dDE0LjUgLTM1LjV2LTkwMHEwIC0yMSAtMTQuNSAtMzUuNXQtMzUuNSAtMTQuNWgtNDAwcS0yMSAwIC0zNS41IDE0LjV0LTE0LjUgMzUuNXY5MDBxMCAyMSAxNC41IDM1LjV0MzUuNSAxNC41ek02NTAgNzAwaDQwMHEyMSAwIDM1LjUgLTE0LjV0MTQuNSAtMzUuNXYtNDAwcTAgLTIxIC0xNC41IC0zNS41dC0zNS41IC0xNC41aC00MDBxLTIxIDAgLTM1LjUgMTQuNXQtMTQuNSAzNS41djQwMCBxMCAyMSAxNC41IDM1LjV0MzUuNSAxNC41ek03MDAgNjAwdi0zMDBoMzAwdjMwMGgtMzAwek0xMjAwIDBoLTEyMDB2MTAwaDEyMDB2LTEwMHoiIC8%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMjUwOyIgZD0iTTg2NSA1NjVsLTQ5NCAtNDk0cS0yMyAtMjMgLTQxIC0yM3EtMTQgMCAtMjIgMTMuNXQtOCAzOC41djEwMDBxMCAyNSA4IDM4LjV0MjIgMTMuNXExOCAwIDQxIC0yM2w0OTQgLTQ5NHExNCAtMTQgMTQgLTM1dC0xNCAtMzV6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTI1MTsiIGQ9Ik0zMzUgNjM1bDQ5NCA0OTRxMjkgMjkgNTAgMjAuNXQyMSAtNDkuNXYtMTAwMHEwIC00MSAtMjEgLTQ5LjV0LTUwIDIwLjVsLTQ5NCA0OTRxLTE0IDE0IC0xNCAzNXQxNCAzNXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMjUyOyIgZD0iTTEwMCA5MDBoMTAwMHE0MSAwIDQ5LjUgLTIxdC0yMC41IC01MGwtNDk0IC00OTRxLTE0IC0xNCAtMzUgLTE0dC0zNSAxNGwtNDk0IDQ5NHEtMjkgMjkgLTIwLjUgNTB0NDkuNSAyMXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMjUzOyIgZD0iTTYzNSA4NjVsNDk0IC00OTRxMjkgLTI5IDIwLjUgLTUwdC00OS41IC0yMWgtMTAwMHEtNDEgMCAtNDkuNSAyMXQyMC41IDUwbDQ5NCA0OTRxMTQgMTQgMzUgMTR0MzUgLTE0eiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUyNTQ7IiBkPSJNNzAwIDc0MXYtMTgybC02OTIgLTMyM3YyMjFsNDEzIDE5M2wtNDEzIDE5M3YyMjF6TTEyMDAgMGgtODAwdjIwMGg4MDB2LTIwMHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMjU1OyIgZD0iTTEyMDAgOTAwaC0yMDB2LTEwMGgyMDB2LTEwMGgtMzAwdjMwMGgyMDB2MTAwaC0yMDB2MTAwaDMwMHYtMzAwek0wIDcwMGg1MHEwIDIxIDQgMzd0OS41IDI2LjV0MTggMTcuNXQyMiAxMXQyOC41IDUuNXQzMSAydDM3IDAuNWgxMDB2LTU1MHEwIC0yMiAtMjUgLTM0LjV0LTUwIC0xMy41bC0yNSAtMnYtMTAwaDQwMHYxMDBxLTQgMCAtMTEgMC41dC0yNCAzdC0zMCA3dC0yNCAxNXQtMTEgMjQuNXY1NTBoMTAwcTI1IDAgMzcgLTAuNXQzMSAtMiB0MjguNSAtNS41dDIyIC0xMXQxOCAtMTcuNXQ5LjUgLTI2LjV0NCAtMzdoNTB2MzAwaC04MDB2LTMwMHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMjU2OyIgZD0iTTgwMCA3MDBoLTUwcTAgMjEgLTQgMzd0LTkuNSAyNi41dC0xOCAxNy41dC0yMiAxMXQtMjguNSA1LjV0LTMxIDJ0LTM3IDAuNWgtMTAwdi01NTBxMCAtMjIgMjUgLTM0LjV0NTAgLTE0LjVsMjUgLTF2LTEwMGgtNDAwdjEwMHE0IDAgMTEgMC41dDI0IDN0MzAgN3QyNCAxNXQxMSAyNC41djU1MGgtMTAwcS0yNSAwIC0zNyAtMC41dC0zMSAtMnQtMjguNSAtNS41dC0yMiAtMTF0LTE4IC0xNy41dC05LjUgLTI2LjV0LTQgLTM3aC01MHYzMDAgaDgwMHYtMzAwek0xMTAwIDIwMGgtMjAwdi0xMDBoMjAwdi0xMDBoLTMwMHYzMDBoMjAwdjEwMGgtMjAwdjEwMGgzMDB2LTMwMHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMjU3OyIgZD0iTTcwMSAxMDk4aDE2MHExNiAwIDIxIC0xMXQtNyAtMjNsLTQ2NCAtNDY0bDQ2NCAtNDY0cTEyIC0xMiA3IC0yM3QtMjEgLTExaC0xNjBxLTEzIDAgLTIzIDlsLTQ3MSA0NzFxLTcgOCAtNyAxOHQ3IDE4bDQ3MSA0NzFxMTAgOSAyMyA5eiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUyNTg7IiBkPSJNMzM5IDEwOThoMTYwcTEzIDAgMjMgLTlsNDcxIC00NzFxNyAtOCA3IC0xOHQtNyAtMThsLTQ3MSAtNDcxcS0xMCAtOSAtMjMgLTloLTE2MHEtMTYgMCAtMjEgMTF0NyAyM2w0NjQgNDY0bC00NjQgNDY0cS0xMiAxMiAtNyAyM3QyMSAxMXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMjU5OyIgZD0iTTEwODcgODgycTExIC01IDExIC0yMXYtMTYwcTAgLTEzIC05IC0yM2wtNDcxIC00NzFxLTggLTcgLTE4IC03dC0xOCA3bC00NzEgNDcxcS05IDEwIC05IDIzdjE2MHEwIDE2IDExIDIxdDIzIC03bDQ2NCAtNDY0bDQ2NCA0NjRxMTIgMTIgMjMgN3oiIC8%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%2BCjwvZGVmcz48L3N2Zz4g%29%20format%28%27svg%27%29%7D%2Eglyphicon%7Bposition%3Arelative%3Btop%3A1px%3Bdisplay%3Ainline%2Dblock%3Bfont%2Dfamily%3A%27Glyphicons%20Halflings%27%3Bfont%2Dstyle%3Anormal%3Bfont%2Dweight%3A400%3Bline%2Dheight%3A1%3B%2Dwebkit%2Dfont%2Dsmoothing%3Aantialiased%3B%2Dmoz%2Dosx%2Dfont%2Dsmoothing%3Agrayscale%7D%2Eglyphicon%2Dasterisk%3Abefore%7Bcontent%3A%22%5C2a%22%7D%2Eglyphicon%2Dplus%3Abefore%7Bcontent%3A%22%5C2b%22%7D%2Eglyphicon%2Deur%3Abefore%2C%2Eglyphicon%2Deuro%3Abefore%7Bcontent%3A%22%5C20ac%22%7D%2Eglyphicon%2Dminus%3Abefore%7Bcontent%3A%22%5C2212%22%7D%2Eglyphicon%2Dcloud%3Abefore%7Bcontent%3A%22%5C2601%22%7D%2Eglyphicon%2Denvelope%3Abefore%7Bcontent%3A%22%5C2709%22%7D%2Eglyphicon%2Dpencil%3Abefore%7Bcontent%3A%22%5C270f%22%7D%2Eglyphicon%2Dglass%3Abefore%7Bcontent%3A%22%5Ce001%22%7D%2Eglyphicon%2Dmusic%3Abefore%7Bcontent%3A%22%5Ce002%22%7D%2Eglyphicon%2Dsearch%3Abefore%7Bcontent%3A%22%5Ce003%22%7D%2Eglyphicon%2Dheart%3Abefore%7Bcontent%3A%22%5Ce005%22%7D%2Eglyphicon%2Dstar%3Abefore%7Bcontent%3A%22%5Ce006%22%7D%2Eglyphicon%2Dstar%2Dempty%3Abefore%7Bcontent%3A%22%5Ce007%22%7D%2Eglyphicon%2Duser%3Abefore%7Bcontent%3A%22%5Ce008%22%7D%2Eglyphicon%2Dfilm%3Abefore%7Bcontent%3A%22%5Ce009%22%7D%2Eglyphicon%2Dth%2Dlarge%3Abefore%7Bcontent%3A%22%5Ce010%22%7D%2Eglyphicon%2Dth%3Abefore%7Bcontent%3A%22%5Ce011%22%7D%2Eglyphicon%2Dth%2Dlist%3Abefore%7Bcontent%3A%22%5Ce012%22%7D%2Eglyphicon%2Dok%3Abefore%7Bcontent%3A%22%5Ce013%22%7D%2Eglyphicon%2Dremove%3Abefore%7Bcontent%3A%22%5Ce014%22%7D%2Eglyphicon%2Dzoom%2Din%3Abefore%7Bcontent%3A%22%5Ce015%22%7D%2Eglyphicon%2Dzoom%2Dout%3Abefore%7Bcontent%3A%22%5Ce016%22%7D%2Eglyphicon%2Doff%3Abefore%7Bcontent%3A%22%5Ce017%22%7D%2Eglyphicon%2Dsignal%3Abefore%7Bcontent%3A%22%5Ce018%22%7D%2Eglyphicon%2Dcog%3Abefore%7Bcontent%3A%22%5Ce019%22%7D%2Eglyphicon%2Dtrash%3Abefore%7Bcontent%3A%22%5Ce020%22%7D%2Eglyphicon%2Dhome%3Abefore%7Bcontent%3A%22%5Ce021%22%7D%2Eglyphicon%2Dfile%3Abefore%7Bcontent%3A%22%5Ce022%22%7D%2Eglyphicon%2Dtime%3Abefore%7Bcontent%3A%22%5Ce023%22%7D%2Eglyphicon%2Droad%3Abefore%7Bcontent%3A%22%5Ce024%22%7D%2Eglyphicon%2Ddownload%2Dalt%3Abefore%7Bcontent%3A%22%5Ce025%22%7D%2Eglyphicon%2Ddownload%3Abefore%7Bcontent%3A%22%5Ce026%22%7D%2Eglyphicon%2Dupload%3Abefore%7Bcontent%3A%22%5Ce027%22%7D%2Eglyphicon%2Dinbox%3Abefore%7Bcontent%3A%22%5Ce028%22%7D%2Eglyphicon%2Dplay%2Dcircle%3Abefore%7Bcontent%3A%22%5Ce029%22%7D%2Eglyphicon%2Drepeat%3Abefore%7Bcontent%3A%22%5Ce030%22%7D%2Eglyphicon%2Drefresh%3Abefore%7Bcontent%3A%22%5Ce031%22%7D%2Eglyphicon%2Dlist%2Dalt%3Abefore%7Bcontent%3A%22%5Ce032%22%7D%2Eglyphicon%2Dlock%3Abefore%7Bcontent%3A%22%5Ce033%22%7D%2Eglyphicon%2Dflag%3Abefore%7Bcontent%3A%22%5Ce034%22%7D%2Eglyphicon%2Dheadphones%3Abefore%7Bcontent%3A%22%5Ce035%22%7D%2Eglyphicon%2Dvolume%2Doff%3Abefore%7Bcontent%3A%22%5Ce036%22%7D%2Eglyphicon%2Dvolume%2Ddown%3Abefore%7Bcontent%3A%22%5Ce037%22%7D%2Eglyphicon%2Dvolume%2Dup%3Abefore%7Bcontent%3A%22%5Ce038%22%7D%2Eglyphicon%2Dqrcode%3Abefore%7Bcontent%3A%22%5Ce039%22%7D%2Eglyphicon%2Dbarcode%3Abefore%7Bcontent%3A%22%5Ce040%22%7D%2Eglyphicon%2Dtag%3Abefore%7Bcontent%3A%22%5Ce041%22%7D%2Eglyphicon%2Dtags%3Abefore%7Bcontent%3A%22%5Ce042%22%7D%2Eglyphicon%2Dbook%3Abefore%7Bcontent%3A%22%5Ce043%22%7D%2Eglyphicon%2Dbookmark%3Abefore%7Bcontent%3A%22%5Ce044%22%7D%2Eglyphicon%2Dprint%3Abefore%7Bcontent%3A%22%5Ce045%22%7D%2Eglyphicon%2Dcamera%3Abefore%7Bcontent%3A%22%5Ce046%22%7D%2Eglyphicon%2Dfont%3Abefore%7Bcontent%3A%22%5Ce047%22%7D%2Eglyphicon%2Dbold%3Abefore%7Bcontent%3A%22%5Ce048%22%7D%2Eglyphicon%2Ditalic%3Abefore%7Bcontent%3A%22%5Ce049%22%7D%2Eglyphicon%2Dtext%2Dheight%3Abefore%7Bcontent%3A%22%5Ce050%22%7D%2Eglyphicon%2Dtext%2Dwidth%3Abefore%7Bcontent%3A%22%5Ce051%22%7D%2Eglyphicon%2Dalign%2Dleft%3Abefore%7Bcontent%3A%22%5Ce052%22%7D%2Eglyphicon%2Dalign%2Dcenter%3Abefore%7Bcontent%3A%22%5Ce053%22%7D%2Eglyphicon%2Dalign%2Dright%3Abefore%7Bcontent%3A%22%5Ce054%22%7D%2Eglyphicon%2Dalign%2Djustify%3Abefore%7Bcontent%3A%22%5Ce055%22%7D%2Eglyphicon%2Dlist%3Abefore%7Bcontent%3A%22%5Ce056%22%7D%2Eglyphicon%2Dindent%2Dleft%3Abefore%7Bcontent%3A%22%5Ce057%22%7D%2Eglyphicon%2Dindent%2Dright%3Abefore%7Bcontent%3A%22%5Ce058%22%7D%2Eglyphicon%2Dfacetime%2Dvideo%3Abefore%7Bcontent%3A%22%5Ce059%22%7D%2Eglyphicon%2Dpicture%3Abefore%7Bcontent%3A%22%5Ce060%22%7D%2Eglyphicon%2Dmap%2Dmarker%3Abefore%7Bcontent%3A%22%5Ce062%22%7D%2Eglyphicon%2Dadjust%3Abefore%7Bcontent%3A%22%5Ce063%22%7D%2Eglyphicon%2Dtint%3Abefore%7Bcontent%3A%22%5Ce064%22%7D%2Eglyphicon%2Dedit%3Abefore%7Bcontent%3A%22%5Ce065%22%7D%2Eglyphicon%2Dshare%3Abefore%7Bcontent%3A%22%5Ce066%22%7D%2Eglyphicon%2Dcheck%3Abefore%7Bcontent%3A%22%5Ce067%22%7D%2Eglyphicon%2Dmove%3Abefore%7Bcontent%3A%22%5Ce068%22%7D%2Eglyphicon%2Dstep%2Dbackward%3Abefore%7Bcontent%3A%22%5Ce069%22%7D%2Eglyphicon%2Dfast%2Dbackward%3Abefore%7Bcontent%3A%22%5Ce070%22%7D%2Eglyphicon%2Dbackward%3Abefore%7Bcontent%3A%22%5Ce071%22%7D%2Eglyphicon%2Dplay%3Abefore%7Bcontent%3A%22%5Ce072%22%7D%2Eglyphicon%2Dpause%3Abefore%7Bcontent%3A%22%5Ce073%22%7D%2Eglyphicon%2Dstop%3Abefore%7Bcontent%3A%22%5Ce074%22%7D%2Eglyphicon%2Dforward%3Abefore%7Bcontent%3A%22%5Ce075%22%7D%2Eglyphicon%2Dfast%2Dforward%3Abefore%7Bcontent%3A%22%5Ce076%22%7D%2Eglyphicon%2Dstep%2Dforward%3Abefore%7Bcontent%3A%22%5Ce077%22%7D%2Eglyphicon%2Deject%3Abefore%7Bcontent%3A%22%5Ce078%22%7D%2Eglyphicon%2Dchevron%2Dleft%3Abefore%7Bcontent%3A%22%5Ce079%22%7D%2Eglyphicon%2Dchevron%2Dright%3Abefore%7Bcontent%3A%22%5Ce080%22%7D%2Eglyphicon%2Dplus%2Dsign%3Abefore%7Bcontent%3A%22%5Ce081%22%7D%2Eglyphicon%2Dminus%2Dsign%3Abefore%7Bcontent%3A%22%5Ce082%22%7D%2Eglyphicon%2Dremove%2Dsign%3Abefore%7Bcontent%3A%22%5Ce083%22%7D%2Eglyphicon%2Dok%2Dsign%3Abefore%7Bcontent%3A%22%5Ce084%22%7D%2Eglyphicon%2Dquestion%2Dsign%3Abefore%7Bcontent%3A%22%5Ce085%22%7D%2Eglyphicon%2Dinfo%2Dsign%3Abefore%7Bcontent%3A%22%5Ce086%22%7D%2Eglyphicon%2Dscreenshot%3Abefore%7Bcontent%3A%22%5Ce087%22%7D%2Eglyphicon%2Dremove%2Dcircle%3Abefore%7Bcontent%3A%22%5Ce088%22%7D%2Eglyphicon%2Dok%2Dcircle%3Abefore%7Bcontent%3A%22%5Ce089%22%7D%2Eglyphicon%2Dban%2Dcircle%3Abefore%7Bcontent%3A%22%5Ce090%22%7D%2Eglyphicon%2Darrow%2Dleft%3Abefore%7Bcontent%3A%22%5Ce091%22%7D%2Eglyphicon%2Darrow%2Dright%3Abefore%7Bcontent%3A%22%5Ce092%22%7D%2Eglyphicon%2Darrow%2Dup%3Abefore%7Bcontent%3A%22%5Ce093%22%7D%2Eglyphicon%2Darrow%2Ddown%3Abefore%7Bcontent%3A%22%5Ce094%22%7D%2Eglyphicon%2Dshare%2Dalt%3Abefore%7Bcontent%3A%22%5Ce095%22%7D%2Eglyphicon%2Dresize%2Dfull%3Abefore%7Bcontent%3A%22%5Ce096%22%7D%2Eglyphicon%2Dresize%2Dsmall%3Abefore%7Bcontent%3A%22%5Ce097%22%7D%2Eglyphicon%2Dexclamation%2Dsign%3Abefore%7Bcontent%3A%22%5Ce101%22%7D%2Eglyphicon%2Dgift%3Abefore%7Bcontent%3A%22%5Ce102%22%7D%2Eglyphicon%2Dleaf%3Abefore%7Bcontent%3A%22%5Ce103%22%7D%2Eglyphicon%2Dfire%3Abefore%7Bcontent%3A%22%5Ce104%22%7D%2Eglyphicon%2Deye%2Dopen%3Abefore%7Bcontent%3A%22%5Ce105%22%7D%2Eglyphicon%2Deye%2Dclose%3Abefore%7Bcontent%3A%22%5Ce106%22%7D%2Eglyphicon%2Dwarning%2Dsign%3Abefore%7Bcontent%3A%22%5Ce107%22%7D%2Eglyphicon%2Dplane%3Abefore%7Bcontent%3A%22%5Ce108%22%7D%2Eglyphicon%2Dcalendar%3Abefore%7Bcontent%3A%22%5Ce109%22%7D%2Eglyphicon%2Drandom%3Abefore%7Bcontent%3A%22%5Ce110%22%7D%2Eglyphicon%2Dcomment%3Abefore%7Bcontent%3A%22%5Ce111%22%7D%2Eglyphicon%2Dmagnet%3Abefore%7Bcontent%3A%22%5Ce112%22%7D%2Eglyphicon%2Dchevron%2Dup%3Abefore%7Bcontent%3A%22%5Ce113%22%7D%2Eglyphicon%2Dchevron%2Ddown%3Abefore%7Bcontent%3A%22%5Ce114%22%7D%2Eglyphicon%2Dretweet%3Abefore%7Bcontent%3A%22%5Ce115%22%7D%2Eglyphicon%2Dshopping%2Dcart%3Abefore%7Bcontent%3A%22%5Ce116%22%7D%2Eglyphicon%2Dfolder%2Dclose%3Abefore%7Bcontent%3A%22%5Ce117%22%7D%2Eglyphicon%2Dfolder%2Dopen%3Abefore%7Bcontent%3A%22%5Ce118%22%7D%2Eglyphicon%2Dresize%2Dvertical%3Abefore%7Bcontent%3A%22%5Ce119%22%7D%2Eglyphicon%2Dresize%2Dhorizontal%3Abefore%7Bcontent%3A%22%5Ce120%22%7D%2Eglyphicon%2Dhdd%3Abefore%7Bcontent%3A%22%5Ce121%22%7D%2Eglyphicon%2Dbullhorn%3Abefore%7Bcontent%3A%22%5Ce122%22%7D%2Eglyphicon%2Dbell%3Abefore%7Bcontent%3A%22%5Ce123%22%7D%2Eglyphicon%2Dcertificate%3Abefore%7Bcontent%3A%22%5Ce124%22%7D%2Eglyphicon%2Dthumbs%2Dup%3Abefore%7Bcontent%3A%22%5Ce125%22%7D%2Eglyphicon%2Dthumbs%2Ddown%3Abefore%7Bcontent%3A%22%5Ce126%22%7D%2Eglyphicon%2Dhand%2Dright%3Abefore%7Bcontent%3A%22%5Ce127%22%7D%2Eglyphicon%2Dhand%2Dleft%3Abefore%7Bcontent%3A%22%5Ce128%22%7D%2Eglyphicon%2Dhand%2Dup%3Abefore%7Bcontent%3A%22%5Ce129%22%7D%2Eglyphicon%2Dhand%2Ddown%3Abefore%7Bcontent%3A%22%5Ce130%22%7D%2Eglyphicon%2Dcircle%2Darrow%2Dright%3Abefore%7Bcontent%3A%22%5Ce131%22%7D%2Eglyphicon%2Dcircle%2Darrow%2Dleft%3Abefore%7Bcontent%3A%22%5Ce132%22%7D%2Eglyphicon%2Dcircle%2Darrow%2Dup%3Abefore%7Bcontent%3A%22%5Ce133%22%7D%2Eglyphicon%2Dcircle%2Darrow%2Ddown%3Abefore%7Bcontent%3A%22%5Ce134%22%7D%2Eglyphicon%2Dglobe%3Abefore%7Bcontent%3A%22%5Ce135%22%7D%2Eglyphicon%2Dwrench%3Abefore%7Bcontent%3A%22%5Ce136%22%7D%2Eglyphicon%2Dtasks%3Abefore%7Bcontent%3A%22%5Ce137%22%7D%2Eglyphicon%2Dfilter%3Abefore%7Bcontent%3A%22%5Ce138%22%7D%2Eglyphicon%2Dbriefcase%3Abefore%7Bcontent%3A%22%5Ce139%22%7D%2Eglyphicon%2Dfullscreen%3Abefore%7Bcontent%3A%22%5Ce140%22%7D%2Eglyphicon%2Ddashboard%3Abefore%7Bcontent%3A%22%5Ce141%22%7D%2Eglyphicon%2Dpaperclip%3Abefore%7Bcontent%3A%22%5Ce142%22%7D%2Eglyphicon%2Dheart%2Dempty%3Abefore%7Bcontent%3A%22%5Ce143%22%7D%2Eglyphicon%2Dlink%3Abefore%7Bcontent%3A%22%5Ce144%22%7D%2Eglyphicon%2Dphone%3Abefore%7Bcontent%3A%22%5Ce145%22%7D%2Eglyphicon%2Dpushpin%3Abefore%7Bcontent%3A%22%5Ce146%22%7D%2Eglyphicon%2Dusd%3Abefore%7Bcontent%3A%22%5Ce148%22%7D%2Eglyphicon%2Dgbp%3Abefore%7Bcontent%3A%22%5Ce149%22%7D%2Eglyphicon%2Dsort%3Abefore%7Bcontent%3A%22%5Ce150%22%7D%2Eglyphicon%2Dsort%2Dby%2Dalphabet%3Abefore%7Bcontent%3A%22%5Ce151%22%7D%2Eglyphicon%2Dsort%2Dby%2Dalphabet%2Dalt%3Abefore%7Bcontent%3A%22%5Ce152%22%7D%2Eglyphicon%2Dsort%2Dby%2Dorder%3Abefore%7Bcontent%3A%22%5Ce153%22%7D%2Eglyphicon%2Dsort%2Dby%2Dorder%2Dalt%3Abefore%7Bcontent%3A%22%5Ce154%22%7D%2Eglyphicon%2Dsort%2Dby%2Dattributes%3Abefore%7Bcontent%3A%22%5Ce155%22%7D%2Eglyphicon%2Dsort%2Dby%2Dattributes%2Dalt%3Abefore%7Bcontent%3A%22%5Ce156%22%7D%2Eglyphicon%2Dunchecked%3Abefore%7Bcontent%3A%22%5Ce157%22%7D%2Eglyphicon%2Dexpand%3Abefore%7Bcontent%3A%22%5Ce158%22%7D%2Eglyphicon%2Dcollapse%2Ddown%3Abefore%7Bcontent%3A%22%5Ce159%22%7D%2Eglyphicon%2Dcollapse%2Dup%3Abefore%7Bcontent%3A%22%5Ce160%22%7D%2Eglyphicon%2Dlog%2Din%3Abefore%7Bcontent%3A%22%5Ce161%22%7D%2Eglyphicon%2Dflash%3Abefore%7Bcontent%3A%22%5Ce162%22%7D%2Eglyphicon%2Dlog%2Dout%3Abefore%7Bcontent%3A%22%5Ce163%22%7D%2Eglyphicon%2Dnew%2Dwindow%3Abefore%7Bcontent%3A%22%5Ce164%22%7D%2Eglyphicon%2Drecord%3Abefore%7Bcontent%3A%22%5Ce165%22%7D%2Eglyphicon%2Dsave%3Abefore%7Bcontent%3A%22%5Ce166%22%7D%2Eglyphicon%2Dopen%3Abefore%7Bcontent%3A%22%5Ce167%22%7D%2Eglyphicon%2Dsaved%3Abefore%7Bcontent%3A%22%5Ce168%22%7D%2Eglyphicon%2Dimport%3Abefore%7Bcontent%3A%22%5Ce169%22%7D%2Eglyphicon%2Dexport%3Abefore%7Bcontent%3A%22%5Ce170%22%7D%2Eglyphicon%2Dsend%3Abefore%7Bcontent%3A%22%5Ce171%22%7D%2Eglyphicon%2Dfloppy%2Ddisk%3Abefore%7Bcontent%3A%22%5Ce172%22%7D%2Eglyphicon%2Dfloppy%2Dsaved%3Abefore%7Bcontent%3A%22%5Ce173%22%7D%2Eglyphicon%2Dfloppy%2Dremove%3Abefore%7Bcontent%3A%22%5Ce174%22%7D%2Eglyphicon%2Dfloppy%2Dsave%3Abefore%7Bcontent%3A%22%5Ce175%22%7D%2Eglyphicon%2Dfloppy%2Dopen%3Abefore%7Bcontent%3A%22%5Ce176%22%7D%2Eglyphicon%2Dcredit%2Dcard%3Abefore%7Bcontent%3A%22%5Ce177%22%7D%2Eglyphicon%2Dtransfer%3Abefore%7Bcontent%3A%22%5Ce178%22%7D%2Eglyphicon%2Dcutlery%3Abefore%7Bcontent%3A%22%5Ce179%22%7D%2Eglyphicon%2Dheader%3Abefore%7Bcontent%3A%22%5Ce180%22%7D%2Eglyphicon%2Dcompressed%3Abefore%7Bcontent%3A%22%5Ce181%22%7D%2Eglyphicon%2Dearphone%3Abefore%7Bcontent%3A%22%5Ce182%22%7D%2Eglyphicon%2Dphone%2Dalt%3Abefore%7Bcontent%3A%22%5Ce183%22%7D%2Eglyphicon%2Dtower%3Abefore%7Bcontent%3A%22%5Ce184%22%7D%2Eglyphicon%2Dstats%3Abefore%7Bcontent%3A%22%5Ce185%22%7D%2Eglyphicon%2Dsd%2Dvideo%3Abefore%7Bcontent%3A%22%5Ce186%22%7D%2Eglyphicon%2Dhd%2Dvideo%3Abefore%7Bcontent%3A%22%5Ce187%22%7D%2Eglyphicon%2Dsubtitles%3Abefore%7Bcontent%3A%22%5Ce188%22%7D%2Eglyphicon%2Dsound%2Dstereo%3Abefore%7Bcontent%3A%22%5Ce189%22%7D%2Eglyphicon%2Dsound%2Ddolby%3Abefore%7Bcontent%3A%22%5Ce190%22%7D%2Eglyphicon%2Dsound%2D5%2D1%3Abefore%7Bcontent%3A%22%5Ce191%22%7D%2Eglyphicon%2Dsound%2D6%2D1%3Abefore%7Bcontent%3A%22%5Ce192%22%7D%2Eglyphicon%2Dsound%2D7%2D1%3Abefore%7Bcontent%3A%22%5Ce193%22%7D%2Eglyphicon%2Dcopyright%2Dmark%3Abefore%7Bcontent%3A%22%5Ce194%22%7D%2Eglyphicon%2Dregistration%2Dmark%3Abefore%7Bcontent%3A%22%5Ce195%22%7D%2Eglyphicon%2Dcloud%2Ddownload%3Abefore%7Bcontent%3A%22%5Ce197%22%7D%2Eglyphicon%2Dcloud%2Dupload%3Abefore%7Bcontent%3A%22%5Ce198%22%7D%2Eglyphicon%2Dtree%2Dconifer%3Abefore%7Bcontent%3A%22%5Ce199%22%7D%2Eglyphicon%2Dtree%2Ddeciduous%3Abefore%7Bcontent%3A%22%5Ce200%22%7D%2Eglyphicon%2Dcd%3Abefore%7Bcontent%3A%22%5Ce201%22%7D%2Eglyphicon%2Dsave%2Dfile%3Abefore%7Bcontent%3A%22%5Ce202%22%7D%2Eglyphicon%2Dopen%2Dfile%3Abefore%7Bcontent%3A%22%5Ce203%22%7D%2Eglyphicon%2Dlevel%2Dup%3Abefore%7Bcontent%3A%22%5Ce204%22%7D%2Eglyphicon%2Dcopy%3Abefore%7Bcontent%3A%22%5Ce205%22%7D%2Eglyphicon%2Dpaste%3Abefore%7Bcontent%3A%22%5Ce206%22%7D%2Eglyphicon%2Dalert%3Abefore%7Bcontent%3A%22%5Ce209%22%7D%2Eglyphicon%2Dequalizer%3Abefore%7Bcontent%3A%22%5Ce210%22%7D%2Eglyphicon%2Dking%3Abefore%7Bcontent%3A%22%5Ce211%22%7D%2Eglyphicon%2Dqueen%3Abefore%7Bcontent%3A%22%5Ce212%22%7D%2Eglyphicon%2Dpawn%3Abefore%7Bcontent%3A%22%5Ce213%22%7D%2Eglyphicon%2Dbishop%3Abefore%7Bcontent%3A%22%5Ce214%22%7D%2Eglyphicon%2Dknight%3Abefore%7Bcontent%3A%22%5Ce215%22%7D%2Eglyphicon%2Dbaby%2Dformula%3Abefore%7Bcontent%3A%22%5Ce216%22%7D%2Eglyphicon%2Dtent%3Abefore%7Bcontent%3A%22%5C26fa%22%7D%2Eglyphicon%2Dblackboard%3Abefore%7Bcontent%3A%22%5Ce218%22%7D%2Eglyphicon%2Dbed%3Abefore%7Bcontent%3A%22%5Ce219%22%7D%2Eglyphicon%2Dapple%3Abefore%7Bcontent%3A%22%5Cf8ff%22%7D%2Eglyphicon%2Derase%3Abefore%7Bcontent%3A%22%5Ce221%22%7D%2Eglyphicon%2Dhourglass%3Abefore%7Bcontent%3A%22%5C231b%22%7D%2Eglyphicon%2Dlamp%3Abefore%7Bcontent%3A%22%5Ce223%22%7D%2Eglyphicon%2Dduplicate%3Abefore%7Bcontent%3A%22%5Ce224%22%7D%2Eglyphicon%2Dpiggy%2Dbank%3Abefore%7Bcontent%3A%22%5Ce225%22%7D%2Eglyphicon%2Dscissors%3Abefore%7Bcontent%3A%22%5Ce226%22%7D%2Eglyphicon%2Dbitcoin%3Abefore%7Bcontent%3A%22%5Ce227%22%7D%2Eglyphicon%2Dbtc%3Abefore%7Bcontent%3A%22%5Ce227%22%7D%2Eglyphicon%2Dxbt%3Abefore%7Bcontent%3A%22%5Ce227%22%7D%2Eglyphicon%2Dyen%3Abefore%7Bcontent%3A%22%5C00a5%22%7D%2Eglyphicon%2Djpy%3Abefore%7Bcontent%3A%22%5C00a5%22%7D%2Eglyphicon%2Druble%3Abefore%7Bcontent%3A%22%5C20bd%22%7D%2Eglyphicon%2Drub%3Abefore%7Bcontent%3A%22%5C20bd%22%7D%2Eglyphicon%2Dscale%3Abefore%7Bcontent%3A%22%5Ce230%22%7D%2Eglyphicon%2Dice%2Dlolly%3Abefore%7Bcontent%3A%22%5Ce231%22%7D%2Eglyphicon%2Dice%2Dlolly%2Dtasted%3Abefore%7Bcontent%3A%22%5Ce232%22%7D%2Eglyphicon%2Deducation%3Abefore%7Bcontent%3A%22%5Ce233%22%7D%2Eglyphicon%2Doption%2Dhorizontal%3Abefore%7Bcontent%3A%22%5Ce234%22%7D%2Eglyphicon%2Doption%2Dvertical%3Abefore%7Bcontent%3A%22%5Ce235%22%7D%2Eglyphicon%2Dmenu%2Dhamburger%3Abefore%7Bcontent%3A%22%5Ce236%22%7D%2Eglyphicon%2Dmodal%2Dwindow%3Abefore%7Bcontent%3A%22%5Ce237%22%7D%2Eglyphicon%2Doil%3Abefore%7Bcontent%3A%22%5Ce238%22%7D%2Eglyphicon%2Dgrain%3Abefore%7Bcontent%3A%22%5Ce239%22%7D%2Eglyphicon%2Dsunglasses%3Abefore%7Bcontent%3A%22%5Ce240%22%7D%2Eglyphicon%2Dtext%2Dsize%3Abefore%7Bcontent%3A%22%5Ce241%22%7D%2Eglyphicon%2Dtext%2Dcolor%3Abefore%7Bcontent%3A%22%5Ce242%22%7D%2Eglyphicon%2Dtext%2Dbackground%3Abefore%7Bcontent%3A%22%5Ce243%22%7D%2Eglyphicon%2Dobject%2Dalign%2Dtop%3Abefore%7Bcontent%3A%22%5Ce244%22%7D%2Eglyphicon%2Dobject%2Dalign%2Dbottom%3Abefore%7Bcontent%3A%22%5Ce245%22%7D%2Eglyphicon%2Dobject%2Dalign%2Dhorizontal%3Abefore%7Bcontent%3A%22%5Ce246%22%7D%2Eglyphicon%2Dobject%2Dalign%2Dleft%3Abefore%7Bcontent%3A%22%5Ce247%22%7D%2Eglyphicon%2Dobject%2Dalign%2Dvertical%3Abefore%7Bcontent%3A%22%5Ce248%22%7D%2Eglyphicon%2Dobject%2Dalign%2Dright%3Abefore%7Bcontent%3A%22%5Ce249%22%7D%2Eglyphicon%2Dtriangle%2Dright%3Abefore%7Bcontent%3A%22%5Ce250%22%7D%2Eglyphicon%2Dtriangle%2Dleft%3Abefore%7Bcontent%3A%22%5Ce251%22%7D%2Eglyphicon%2Dtriangle%2Dbottom%3Abefore%7Bcontent%3A%22%5Ce252%22%7D%2Eglyphicon%2Dtriangle%2Dtop%3Abefore%7Bcontent%3A%22%5Ce253%22%7D%2Eglyphicon%2Dconsole%3Abefore%7Bcontent%3A%22%5Ce254%22%7D%2Eglyphicon%2Dsuperscript%3Abefore%7Bcontent%3A%22%5Ce255%22%7D%2Eglyphicon%2Dsubscript%3Abefore%7Bcontent%3A%22%5Ce256%22%7D%2Eglyphicon%2Dmenu%2Dleft%3Abefore%7Bcontent%3A%22%5Ce257%22%7D%2Eglyphicon%2Dmenu%2Dright%3Abefore%7Bcontent%3A%22%5Ce258%22%7D%2Eglyphicon%2Dmenu%2Ddown%3Abefore%7Bcontent%3A%22%5Ce259%22%7D%2Eglyphicon%2Dmenu%2Dup%3Abefore%7Bcontent%3A%22%5Ce260%22%7D%2A%7B%2Dwebkit%2Dbox%2Dsizing%3Aborder%2Dbox%3B%2Dmoz%2Dbox%2Dsizing%3Aborder%2Dbox%3Bbox%2Dsizing%3Aborder%2Dbox%7D%3Aafter%2C%3Abefore%7B%2Dwebkit%2Dbox%2Dsizing%3Aborder%2Dbox%3B%2Dmoz%2Dbox%2Dsizing%3Aborder%2Dbox%3Bbox%2Dsizing%3Aborder%2Dbox%7Dhtml%7Bfont%2Dsize%3A10px%3B%2Dwebkit%2Dtap%2Dhighlight%2Dcolor%3Argba%280%2C0%2C0%2C0%29%7Dbody%7Bfont%2Dfamily%3A%22Helvetica%20Neue%22%2CHelvetica%2CArial%2Csans%2Dserif%3Bfont%2Dsize%3A14px%3Bline%2Dheight%3A1%2E42857143%3Bcolor%3A%23333%3Bbackground%2Dcolor%3A%23fff%7Dbutton%2Cinput%2Cselect%2Ctextarea%7Bfont%2Dfamily%3Ainherit%3Bfont%2Dsize%3Ainherit%3Bline%2Dheight%3Ainherit%7Da%7Bcolor%3A%23337ab7%3Btext%2Ddecoration%3Anone%7Da%3Afocus%2Ca%3Ahover%7Bcolor%3A%2323527c%3Btext%2Ddecoration%3Aunderline%7Da%3Afocus%7Boutline%3Athin%20dotted%3Boutline%3A5px%20auto%20%2Dwebkit%2Dfocus%2Dring%2Dcolor%3Boutline%2Doffset%3A%2D2px%7Dfigure%7Bmargin%3A0%7Dimg%7Bvertical%2Dalign%3Amiddle%7D%2Ecarousel%2Dinner%3E%2Eitem%3Ea%3Eimg%2C%2Ecarousel%2Dinner%3E%2Eitem%3Eimg%2C%2Eimg%2Dresponsive%2C%2Ethumbnail%20a%3Eimg%2C%2Ethumbnail%3Eimg%7Bdisplay%3Ablock%3Bmax%2Dwidth%3A100%25%3Bheight%3Aauto%7D%2Eimg%2Drounded%7Bborder%2Dradius%3A6px%7D%2Eimg%2Dthumbnail%7Bdisplay%3Ainline%2Dblock%3Bmax%2Dwidth%3A100%25%3Bheight%3Aauto%3Bpadding%3A4px%3Bline%2Dheight%3A1%2E42857143%3Bbackground%2Dcolor%3A%23fff%3Bborder%3A1px%20solid%20%23ddd%3Bborder%2Dradius%3A4px%3B%2Dwebkit%2Dtransition%3Aall%20%2E2s%20ease%2Din%2Dout%3B%2Do%2Dtransition%3Aall%20%2E2s%20ease%2Din%2Dout%3Btransition%3Aall%20%2E2s%20ease%2Din%2Dout%7D%2Eimg%2Dcircle%7Bborder%2Dradius%3A50%25%7Dhr%7Bmargin%2Dtop%3A20px%3Bmargin%2Dbottom%3A20px%3Bborder%3A0%3Bborder%2Dtop%3A1px%20solid%20%23eee%7D%2Esr%2Donly%7Bposition%3Aabsolute%3Bwidth%3A1px%3Bheight%3A1px%3Bpadding%3A0%3Bmargin%3A%2D1px%3Boverflow%3Ahidden%3Bclip%3Arect%280%2C0%2C0%2C0%29%3Bborder%3A0%7D%2Esr%2Donly%2Dfocusable%3Aactive%2C%2Esr%2Donly%2Dfocusable%3Afocus%7Bposition%3Astatic%3Bwidth%3Aauto%3Bheight%3Aauto%3Bmargin%3A0%3Boverflow%3Avisible%3Bclip%3Aauto%7D%5Brole%3Dbutton%5D%7Bcursor%3Apointer%7D%2Eh1%2C%2Eh2%2C%2Eh3%2C%2Eh4%2C%2Eh5%2C%2Eh6%2Ch1%2Ch2%2Ch3%2Ch4%2Ch5%2Ch6%7Bfont%2Dfamily%3Ainherit%3Bfont%2Dweight%3A500%3Bline%2Dheight%3A1%2E1%3Bcolor%3Ainherit%7D%2Eh1%20%2Esmall%2C%2Eh1%20small%2C%2Eh2%20%2Esmall%2C%2Eh2%20small%2C%2Eh3%20%2Esmall%2C%2Eh3%20small%2C%2Eh4%20%2Esmall%2C%2Eh4%20small%2C%2Eh5%20%2Esmall%2C%2Eh5%20small%2C%2Eh6%20%2Esmall%2C%2Eh6%20small%2Ch1%20%2Esmall%2Ch1%20small%2Ch2%20%2Esmall%2Ch2%20small%2Ch3%20%2Esmall%2Ch3%20small%2Ch4%20%2Esmall%2Ch4%20small%2Ch5%20%2Esmall%2Ch5%20small%2Ch6%20%2Esmall%2Ch6%20small%7Bfont%2Dweight%3A400%3Bline%2Dheight%3A1%3Bcolor%3A%23777%7D%2Eh1%2C%2Eh2%2C%2Eh3%2Ch1%2Ch2%2Ch3%7Bmargin%2Dtop%3A20px%3Bmargin%2Dbottom%3A10px%7D%2Eh1%20%2Esmall%2C%2Eh1%20small%2C%2Eh2%20%2Esmall%2C%2Eh2%20small%2C%2Eh3%20%2Esmall%2C%2Eh3%20small%2Ch1%20%2Esmall%2Ch1%20small%2Ch2%20%2Esmall%2Ch2%20small%2Ch3%20%2Esmall%2Ch3%20small%7Bfont%2Dsize%3A65%25%7D%2Eh4%2C%2Eh5%2C%2Eh6%2Ch4%2Ch5%2Ch6%7Bmargin%2Dtop%3A10px%3Bmargin%2Dbottom%3A10px%7D%2Eh4%20%2Esmall%2C%2Eh4%20small%2C%2Eh5%20%2Esmall%2C%2Eh5%20small%2C%2Eh6%20%2Esmall%2C%2Eh6%20small%2Ch4%20%2Esmall%2Ch4%20small%2Ch5%20%2Esmall%2Ch5%20small%2Ch6%20%2Esmall%2Ch6%20small%7Bfont%2Dsize%3A75%25%7D%2Eh1%2Ch1%7Bfont%2Dsize%3A36px%7D%2Eh2%2Ch2%7Bfont%2Dsize%3A30px%7D%2Eh3%2Ch3%7Bfont%2Dsize%3A24px%7D%2Eh4%2Ch4%7Bfont%2Dsize%3A18px%7D%2Eh5%2Ch5%7Bfont%2Dsize%3A14px%7D%2Eh6%2Ch6%7Bfont%2Dsize%3A12px%7Dp%7Bmargin%3A0%200%2010px%7D%2Elead%7Bmargin%2Dbottom%3A20px%3Bfont%2Dsize%3A16px%3Bfont%2Dweight%3A300%3Bline%2Dheight%3A1%2E4%7D%40media%20%28min%2Dwidth%3A768px%29%7B%2Elead%7Bfont%2Dsize%3A21px%7D%7D%2Esmall%2Csmall%7Bfont%2Dsize%3A85%25%7D%2Emark%2Cmark%7Bpadding%3A%2E2em%3Bbackground%2Dcolor%3A%23fcf8e3%7D%2Etext%2Dleft%7Btext%2Dalign%3Aleft%7D%2Etext%2Dright%7Btext%2Dalign%3Aright%7D%2Etext%2Dcenter%7Btext%2Dalign%3Acenter%7D%2Etext%2Djustify%7Btext%2Dalign%3Ajustify%7D%2Etext%2Dnowrap%7Bwhite%2Dspace%3Anowrap%7D%2Etext%2Dlowercase%7Btext%2Dtransform%3Alowercase%7D%2Etext%2Duppercase%7Btext%2Dtransform%3Auppercase%7D%2Etext%2Dcapitalize%7Btext%2Dtransform%3Acapitalize%7D%2Etext%2Dmuted%7Bcolor%3A%23777%7D%2Etext%2Dprimary%7Bcolor%3A%23337ab7%7Da%2Etext%2Dprimary%3Afocus%2Ca%2Etext%2Dprimary%3Ahover%7Bcolor%3A%23286090%7D%2Etext%2Dsuccess%7Bcolor%3A%233c763d%7Da%2Etext%2Dsuccess%3Afocus%2Ca%2Etext%2Dsuccess%3Ahover%7Bcolor%3A%232b542c%7D%2Etext%2Dinfo%7Bcolor%3A%2331708f%7Da%2Etext%2Dinfo%3Afocus%2Ca%2Etext%2Dinfo%3Ahover%7Bcolor%3A%23245269%7D%2Etext%2Dwarning%7Bcolor%3A%238a6d3b%7Da%2Etext%2Dwarning%3Afocus%2Ca%2Etext%2Dwarning%3Ahover%7Bcolor%3A%2366512c%7D%2Etext%2Ddanger%7Bcolor%3A%23a94442%7Da%2Etext%2Ddanger%3Afocus%2Ca%2Etext%2Ddanger%3Ahover%7Bcolor%3A%23843534%7D%2Ebg%2Dprimary%7Bcolor%3A%23fff%3Bbackground%2Dcolor%3A%23337ab7%7Da%2Ebg%2Dprimary%3Afocus%2Ca%2Ebg%2Dprimary%3Ahover%7Bbackground%2Dcolor%3A%23286090%7D%2Ebg%2Dsuccess%7Bbackground%2Dcolor%3A%23dff0d8%7Da%2Ebg%2Dsuccess%3Afocus%2Ca%2Ebg%2Dsuccess%3Ahover%7Bbackground%2Dcolor%3A%23c1e2b3%7D%2Ebg%2Dinfo%7Bbackground%2Dcolor%3A%23d9edf7%7Da%2Ebg%2Dinfo%3Afocus%2Ca%2Ebg%2Dinfo%3Ahover%7Bbackground%2Dcolor%3A%23afd9ee%7D%2Ebg%2Dwarning%7Bbackground%2Dcolor%3A%23fcf8e3%7Da%2Ebg%2Dwarning%3Afocus%2Ca%2Ebg%2Dwarning%3Ahover%7Bbackground%2Dcolor%3A%23f7ecb5%7D%2Ebg%2Ddanger%7Bbackground%2Dcolor%3A%23f2dede%7Da%2Ebg%2Ddanger%3Afocus%2Ca%2Ebg%2Ddanger%3Ahover%7Bbackground%2Dcolor%3A%23e4b9b9%7D%2Epage%2Dheader%7Bpadding%2Dbottom%3A9px%3Bmargin%3A40px%200%2020px%3Bborder%2Dbottom%3A1px%20solid%20%23eee%7Dol%2Cul%7Bmargin%2Dtop%3A0%3Bmargin%2Dbottom%3A10px%7Dol%20ol%2Col%20ul%2Cul%20ol%2Cul%20ul%7Bmargin%2Dbottom%3A0%7D%2Elist%2Dunstyled%7Bpadding%2Dleft%3A0%3Blist%2Dstyle%3Anone%7D%2Elist%2Dinline%7Bpadding%2Dleft%3A0%3Bmargin%2Dleft%3A%2D5px%3Blist%2Dstyle%3Anone%7D%2Elist%2Dinline%3Eli%7Bdisplay%3Ainline%2Dblock%3Bpadding%2Dright%3A5px%3Bpadding%2Dleft%3A5px%7Ddl%7Bmargin%2Dtop%3A0%3Bmargin%2Dbottom%3A20px%7Ddd%2Cdt%7Bline%2Dheight%3A1%2E42857143%7Ddt%7Bfont%2Dweight%3A700%7Ddd%7Bmargin%2Dleft%3A0%7D%40media%20%28min%2Dwidth%3A768px%29%7B%2Edl%2Dhorizontal%20dt%7Bfloat%3Aleft%3Bwidth%3A160px%3Boverflow%3Ahidden%3Bclear%3Aleft%3Btext%2Dalign%3Aright%3Btext%2Doverflow%3Aellipsis%3Bwhite%2Dspace%3Anowrap%7D%2Edl%2Dhorizontal%20dd%7Bmargin%2Dleft%3A180px%7D%7Dabbr%5Bdata%2Doriginal%2Dtitle%5D%2Cabbr%5Btitle%5D%7Bcursor%3Ahelp%3Bborder%2Dbottom%3A1px%20dotted%20%23777%7D%2Einitialism%7Bfont%2Dsize%3A90%25%3Btext%2Dtransform%3Auppercase%7Dblockquote%7Bpadding%3A10px%2020px%3Bmargin%3A0%200%2020px%3Bfont%2Dsize%3A17%2E5px%3Bborder%2Dleft%3A5px%20solid%20%23eee%7Dblockquote%20ol%3Alast%2Dchild%2Cblockquote%20p%3Alast%2Dchild%2Cblockquote%20ul%3Alast%2Dchild%7Bmargin%2Dbottom%3A0%7Dblockquote%20%2Esmall%2Cblockquote%20footer%2Cblockquote%20small%7Bdisplay%3Ablock%3Bfont%2Dsize%3A80%25%3Bline%2Dheight%3A1%2E42857143%3Bcolor%3A%23777%7Dblockquote%20%2Esmall%3Abefore%2Cblockquote%20footer%3Abefore%2Cblockquote%20small%3Abefore%7Bcontent%3A%27%5C2014%20%5C00A0%27%7D%2Eblockquote%2Dreverse%2Cblockquote%2Epull%2Dright%7Bpadding%2Dright%3A15px%3Bpadding%2Dleft%3A0%3Btext%2Dalign%3Aright%3Bborder%2Dright%3A5px%20solid%20%23eee%3Bborder%2Dleft%3A0%7D%2Eblockquote%2Dreverse%20%2Esmall%3Abefore%2C%2Eblockquote%2Dreverse%20footer%3Abefore%2C%2Eblockquote%2Dreverse%20small%3Abefore%2Cblockquote%2Epull%2Dright%20%2Esmall%3Abefore%2Cblockquote%2Epull%2Dright%20footer%3Abefore%2Cblockquote%2Epull%2Dright%20small%3Abefore%7Bcontent%3A%27%27%7D%2Eblockquote%2Dreverse%20%2Esmall%3Aafter%2C%2Eblockquote%2Dreverse%20footer%3Aafter%2C%2Eblockquote%2Dreverse%20small%3Aafter%2Cblockquote%2Epull%2Dright%20%2Esmall%3Aafter%2Cblockquote%2Epull%2Dright%20footer%3Aafter%2Cblockquote%2Epull%2Dright%20small%3Aafter%7Bcontent%3A%27%5C00A0%20%5C2014%27%7Daddress%7Bmargin%2Dbottom%3A20px%3Bfont%2Dstyle%3Anormal%3Bline%2Dheight%3A1%2E42857143%7Dcode%2Ckbd%2Cpre%2Csamp%7Bfont%2Dfamily%3Amonospace%7Dcode%7Bpadding%3A2px%204px%3Bfont%2Dsize%3A90%25%3Bcolor%3A%23c7254e%3Bbackground%2Dcolor%3A%23f9f2f4%3Bborder%2Dradius%3A4px%7Dkbd%7Bpadding%3A2px%204px%3Bfont%2Dsize%3A90%25%3Bcolor%3A%23fff%3Bbackground%2Dcolor%3A%23333%3Bborder%2Dradius%3A3px%3B%2Dwebkit%2Dbox%2Dshadow%3Ainset%200%20%2D1px%200%20rgba%280%2C0%2C0%2C%2E25%29%3Bbox%2Dshadow%3Ainset%200%20%2D1px%200%20rgba%280%2C0%2C0%2C%2E25%29%7Dkbd%20kbd%7Bpadding%3A0%3Bfont%2Dsize%3A100%25%3Bfont%2Dweight%3A700%3B%2Dwebkit%2Dbox%2Dshadow%3Anone%3Bbox%2Dshadow%3Anone%7Dpre%7Bdisplay%3Ablock%3Bpadding%3A9%2E5px%3Bmargin%3A0%200%2010px%3Bfont%2Dsize%3A13px%3Bline%2Dheight%3A1%2E42857143%3Bcolor%3A%23333%3Bword%2Dbreak%3Abreak%2Dall%3Bword%2Dwrap%3Abreak%2Dword%3Bbackground%2Dcolor%3A%23f5f5f5%3Bborder%3A1px%20solid%20%23ccc%3Bborder%2Dradius%3A4px%7Dpre%20code%7Bpadding%3A0%3Bfont%2Dsize%3Ainherit%3Bcolor%3Ainherit%3Bwhite%2Dspace%3Apre%2Dwrap%3Bbackground%2Dcolor%3Atransparent%3Bborder%2Dradius%3A0%7D%2Epre%2Dscrollable%7Bmax%2Dheight%3A340px%3Boverflow%2Dy%3Ascroll%7D%2Econtainer%7Bpadding%2Dright%3A15px%3Bpadding%2Dleft%3A15px%3Bmargin%2Dright%3Aauto%3Bmargin%2Dleft%3Aauto%7D%40media%20%28min%2Dwidth%3A768px%29%7B%2Econtainer%7Bwidth%3A750px%7D%7D%40media%20%28min%2Dwidth%3A992px%29%7B%2Econtainer%7Bwidth%3A970px%7D%7D%40media%20%28min%2Dwidth%3A1200px%29%7B%2Econtainer%7Bwidth%3A1170px%7D%7D%2Econtainer%2Dfluid%7Bpadding%2Dright%3A15px%3Bpadding%2Dleft%3A15px%3Bmargin%2Dright%3Aauto%3Bmargin%2Dleft%3Aauto%7D%2Erow%7Bmargin%2Dright%3A%2D15px%3Bmargin%2Dleft%3A%2D15px%7D%2Ecol%2Dlg%2D1%2C%2Ecol%2Dlg%2D10%2C%2Ecol%2Dlg%2D11%2C%2Ecol%2Dlg%2D12%2C%2Ecol%2Dlg%2D2%2C%2Ecol%2Dlg%2D3%2C%2Ecol%2Dlg%2D4%2C%2Ecol%2Dlg%2D5%2C%2Ecol%2Dlg%2D6%2C%2Ecol%2Dlg%2D7%2C%2Ecol%2Dlg%2D8%2C%2Ecol%2Dlg%2D9%2C%2Ecol%2Dmd%2D1%2C%2Ecol%2Dmd%2D10%2C%2Ecol%2Dmd%2D11%2C%2Ecol%2Dmd%2D12%2C%2Ecol%2Dmd%2D2%2C%2Ecol%2Dmd%2D3%2C%2Ecol%2Dmd%2D4%2C%2Ecol%2Dmd%2D5%2C%2Ecol%2Dmd%2D6%2C%2Ecol%2Dmd%2D7%2C%2Ecol%2Dmd%2D8%2C%2Ecol%2Dmd%2D9%2C%2Ecol%2Dsm%2D1%2C%2Ecol%2Dsm%2D10%2C%2Ecol%2Dsm%2D11%2C%2Ecol%2Dsm%2D12%2C%2Ecol%2Dsm%2D2%2C%2Ecol%2Dsm%2D3%2C%2Ecol%2Dsm%2D4%2C%2Ecol%2Dsm%2D5%2C%2Ecol%2Dsm%2D6%2C%2Ecol%2Dsm%2D7%2C%2Ecol%2Dsm%2D8%2C%2Ecol%2Dsm%2D9%2C%2Ecol%2Dxs%2D1%2C%2Ecol%2Dxs%2D10%2C%2Ecol%2Dxs%2D11%2C%2Ecol%2Dxs%2D12%2C%2Ecol%2Dxs%2D2%2C%2Ecol%2Dxs%2D3%2C%2Ecol%2Dxs%2D4%2C%2Ecol%2Dxs%2D5%2C%2Ecol%2Dxs%2D6%2C%2Ecol%2Dxs%2D7%2C%2Ecol%2Dxs%2D8%2C%2Ecol%2Dxs%2D9%7Bposition%3Arelative%3Bmin%2Dheight%3A1px%3Bpadding%2Dright%3A15px%3Bpadding%2Dleft%3A15px%7D%2Ecol%2Dxs%2D1%2C%2Ecol%2Dxs%2D10%2C%2Ecol%2Dxs%2D11%2C%2Ecol%2Dxs%2D12%2C%2Ecol%2Dxs%2D2%2C%2Ecol%2Dxs%2D3%2C%2Ecol%2Dxs%2D4%2C%2Ecol%2Dxs%2D5%2C%2Ecol%2Dxs%2D6%2C%2Ecol%2Dxs%2D7%2C%2Ecol%2Dxs%2D8%2C%2Ecol%2Dxs%2D9%7Bfloat%3Aleft%7D%2Ecol%2Dxs%2D12%7Bwidth%3A100%25%7D%2Ecol%2Dxs%2D11%7Bwidth%3A91%2E66666667%25%7D%2Ecol%2Dxs%2D10%7Bwidth%3A83%2E33333333%25%7D%2Ecol%2Dxs%2D9%7Bwidth%3A75%25%7D%2Ecol%2Dxs%2D8%7Bwidth%3A66%2E66666667%25%7D%2Ecol%2Dxs%2D7%7Bwidth%3A58%2E33333333%25%7D%2Ecol%2Dxs%2D6%7Bwidth%3A50%25%7D%2Ecol%2Dxs%2D5%7Bwidth%3A41%2E66666667%25%7D%2Ecol%2Dxs%2D4%7Bwidth%3A33%2E33333333%25%7D%2Ecol%2Dxs%2D3%7Bwidth%3A25%25%7D%2Ecol%2Dxs%2D2%7Bwidth%3A16%2E66666667%25%7D%2Ecol%2Dxs%2D1%7Bwidth%3A8%2E33333333%25%7D%2Ecol%2Dxs%2Dpull%2D12%7Bright%3A100%25%7D%2Ecol%2Dxs%2Dpull%2D11%7Bright%3A91%2E66666667%25%7D%2Ecol%2Dxs%2Dpull%2D10%7Bright%3A83%2E33333333%25%7D%2Ecol%2Dxs%2Dpull%2D9%7Bright%3A75%25%7D%2Ecol%2Dxs%2Dpull%2D8%7Bright%3A66%2E66666667%25%7D%2Ecol%2Dxs%2Dpull%2D7%7Bright%3A58%2E33333333%25%7D%2Ecol%2Dxs%2Dpull%2D6%7Bright%3A50%25%7D%2Ecol%2Dxs%2Dpull%2D5%7Bright%3A41%2E66666667%25%7D%2Ecol%2Dxs%2Dpull%2D4%7Bright%3A33%2E33333333%25%7D%2Ecol%2Dxs%2Dpull%2D3%7Bright%3A25%25%7D%2Ecol%2Dxs%2Dpull%2D2%7Bright%3A16%2E66666667%25%7D%2Ecol%2Dxs%2Dpull%2D1%7Bright%3A8%2E33333333%25%7D%2Ecol%2Dxs%2Dpull%2D0%7Bright%3Aauto%7D%2Ecol%2Dxs%2Dpush%2D12%7Bleft%3A100%25%7D%2Ecol%2Dxs%2Dpush%2D11%7Bleft%3A91%2E66666667%25%7D%2Ecol%2Dxs%2Dpush%2D10%7Bleft%3A83%2E33333333%25%7D%2Ecol%2Dxs%2Dpush%2D9%7Bleft%3A75%25%7D%2Ecol%2Dxs%2Dpush%2D8%7Bleft%3A66%2E66666667%25%7D%2Ecol%2Dxs%2Dpush%2D7%7Bleft%3A58%2E33333333%25%7D%2Ecol%2Dxs%2Dpush%2D6%7Bleft%3A50%25%7D%2Ecol%2Dxs%2Dpush%2D5%7Bleft%3A41%2E66666667%25%7D%2Ecol%2Dxs%2Dpush%2D4%7Bleft%3A33%2E33333333%25%7D%2Ecol%2Dxs%2Dpush%2D3%7Bleft%3A25%25%7D%2Ecol%2Dxs%2Dpush%2D2%7Bleft%3A16%2E66666667%25%7D%2Ecol%2Dxs%2Dpush%2D1%7Bleft%3A8%2E33333333%25%7D%2Ecol%2Dxs%2Dpush%2D0%7Bleft%3Aauto%7D%2Ecol%2Dxs%2Doffset%2D12%7Bmargin%2Dleft%3A100%25%7D%2Ecol%2Dxs%2Doffset%2D11%7Bmargin%2Dleft%3A91%2E66666667%25%7D%2Ecol%2Dxs%2Doffset%2D10%7Bmargin%2Dleft%3A83%2E33333333%25%7D%2Ecol%2Dxs%2Doffset%2D9%7Bmargin%2Dleft%3A75%25%7D%2Ecol%2Dxs%2Doffset%2D8%7Bmargin%2Dleft%3A66%2E66666667%25%7D%2Ecol%2Dxs%2Doffset%2D7%7Bmargin%2Dleft%3A58%2E33333333%25%7D%2Ecol%2Dxs%2Doffset%2D6%7Bmargin%2Dleft%3A50%25%7D%2Ecol%2Dxs%2Doffset%2D5%7Bmargin%2Dleft%3A41%2E66666667%25%7D%2Ecol%2Dxs%2Doffset%2D4%7Bmargin%2Dleft%3A33%2E33333333%25%7D%2Ecol%2Dxs%2Doffset%2D3%7Bmargin%2Dleft%3A25%25%7D%2Ecol%2Dxs%2Doffset%2D2%7Bmargin%2Dleft%3A16%2E66666667%25%7D%2Ecol%2Dxs%2Doffset%2D1%7Bmargin%2Dleft%3A8%2E33333333%25%7D%2Ecol%2Dxs%2Doffset%2D0%7Bmargin%2Dleft%3A0%7D%40media%20%28min%2Dwidth%3A768px%29%7B%2Ecol%2Dsm%2D1%2C%2Ecol%2Dsm%2D10%2C%2Ecol%2Dsm%2D11%2C%2Ecol%2Dsm%2D12%2C%2Ecol%2Dsm%2D2%2C%2Ecol%2Dsm%2D3%2C%2Ecol%2Dsm%2D4%2C%2Ecol%2Dsm%2D5%2C%2Ecol%2Dsm%2D6%2C%2Ecol%2Dsm%2D7%2C%2Ecol%2Dsm%2D8%2C%2Ecol%2Dsm%2D9%7Bfloat%3Aleft%7D%2Ecol%2Dsm%2D12%7Bwidth%3A100%25%7D%2Ecol%2Dsm%2D11%7Bwidth%3A91%2E66666667%25%7D%2Ecol%2Dsm%2D10%7Bwidth%3A83%2E33333333%25%7D%2Ecol%2Dsm%2D9%7Bwidth%3A75%25%7D%2Ecol%2Dsm%2D8%7Bwidth%3A66%2E66666667%25%7D%2Ecol%2Dsm%2D7%7Bwidth%3A58%2E33333333%25%7D%2Ecol%2Dsm%2D6%7Bwidth%3A50%25%7D%2Ecol%2Dsm%2D5%7Bwidth%3A41%2E66666667%25%7D%2Ecol%2Dsm%2D4%7Bwidth%3A33%2E33333333%25%7D%2Ecol%2Dsm%2D3%7Bwidth%3A25%25%7D%2Ecol%2Dsm%2D2%7Bwidth%3A16%2E66666667%25%7D%2Ecol%2Dsm%2D1%7Bwidth%3A8%2E33333333%25%7D%2Ecol%2Dsm%2Dpull%2D12%7Bright%3A100%25%7D%2Ecol%2Dsm%2Dpull%2D11%7Bright%3A91%2E66666667%25%7D%2Ecol%2Dsm%2Dpull%2D10%7Bright%3A83%2E33333333%25%7D%2Ecol%2Dsm%2Dpull%2D9%7Bright%3A75%25%7D%2Ecol%2Dsm%2Dpull%2D8%7Bright%3A66%2E66666667%25%7D%2Ecol%2Dsm%2Dpull%2D7%7Bright%3A58%2E33333333%25%7D%2Ecol%2Dsm%2Dpull%2D6%7Bright%3A50%25%7D%2Ecol%2Dsm%2Dpull%2D5%7Bright%3A41%2E66666667%25%7D%2Ecol%2Dsm%2Dpull%2D4%7Bright%3A33%2E33333333%25%7D%2Ecol%2Dsm%2Dpull%2D3%7Bright%3A25%25%7D%2Ecol%2Dsm%2Dpull%2D2%7Bright%3A16%2E66666667%25%7D%2Ecol%2Dsm%2Dpull%2D1%7Bright%3A8%2E33333333%25%7D%2Ecol%2Dsm%2Dpull%2D0%7Bright%3Aauto%7D%2Ecol%2Dsm%2Dpush%2D12%7Bleft%3A100%25%7D%2Ecol%2Dsm%2Dpush%2D11%7Bleft%3A91%2E66666667%25%7D%2Ecol%2Dsm%2Dpush%2D10%7Bleft%3A83%2E33333333%25%7D%2Ecol%2Dsm%2Dpush%2D9%7Bleft%3A75%25%7D%2Ecol%2Dsm%2Dpush%2D8%7Bleft%3A66%2E66666667%25%7D%2Ecol%2Dsm%2Dpush%2D7%7Bleft%3A58%2E33333333%25%7D%2Ecol%2Dsm%2Dpush%2D6%7Bleft%3A50%25%7D%2Ecol%2Dsm%2Dpush%2D5%7Bleft%3A41%2E66666667%25%7D%2Ecol%2Dsm%2Dpush%2D4%7Bleft%3A33%2E33333333%25%7D%2Ecol%2Dsm%2Dpush%2D3%7Bleft%3A25%25%7D%2Ecol%2Dsm%2Dpush%2D2%7Bleft%3A16%2E66666667%25%7D%2Ecol%2Dsm%2Dpush%2D1%7Bleft%3A8%2E33333333%25%7D%2Ecol%2Dsm%2Dpush%2D0%7Bleft%3Aauto%7D%2Ecol%2Dsm%2Doffset%2D12%7Bmargin%2Dleft%3A100%25%7D%2Ecol%2Dsm%2Doffset%2D11%7Bmargin%2Dleft%3A91%2E66666667%25%7D%2Ecol%2Dsm%2Doffset%2D10%7Bmargin%2Dleft%3A83%2E33333333%25%7D%2Ecol%2Dsm%2Doffset%2D9%7Bmargin%2Dleft%3A75%25%7D%2Ecol%2Dsm%2Doffset%2D8%7Bmargin%2Dleft%3A66%2E66666667%25%7D%2Ecol%2Dsm%2Doffset%2D7%7Bmargin%2Dleft%3A58%2E33333333%25%7D%2Ecol%2Dsm%2Doffset%2D6%7Bmargin%2Dleft%3A50%25%7D%2Ecol%2Dsm%2Doffset%2D5%7Bmargin%2Dleft%3A41%2E66666667%25%7D%2Ecol%2Dsm%2Doffset%2D4%7Bmargin%2Dleft%3A33%2E33333333%25%7D%2Ecol%2Dsm%2Doffset%2D3%7Bmargin%2Dleft%3A25%25%7D%2Ecol%2Dsm%2Doffset%2D2%7Bmargin%2Dleft%3A16%2E66666667%25%7D%2Ecol%2Dsm%2Doffset%2D1%7Bmargin%2Dleft%3A8%2E33333333%25%7D%2Ecol%2Dsm%2Doffset%2D0%7Bmargin%2Dleft%3A0%7D%7D%40media%20%28min%2Dwidth%3A992px%29%7B%2Ecol%2Dmd%2D1%2C%2Ecol%2Dmd%2D10%2C%2Ecol%2Dmd%2D11%2C%2Ecol%2Dmd%2D12%2C%2Ecol%2Dmd%2D2%2C%2Ecol%2Dmd%2D3%2C%2Ecol%2Dmd%2D4%2C%2Ecol%2Dmd%2D5%2C%2Ecol%2Dmd%2D6%2C%2Ecol%2Dmd%2D7%2C%2Ecol%2Dmd%2D8%2C%2Ecol%2Dmd%2D9%7Bfloat%3Aleft%7D%2Ecol%2Dmd%2D12%7Bwidth%3A100%25%7D%2Ecol%2Dmd%2D11%7Bwidth%3A91%2E66666667%25%7D%2Ecol%2Dmd%2D10%7Bwidth%3A83%2E33333333%25%7D%2Ecol%2Dmd%2D9%7Bwidth%3A75%25%7D%2Ecol%2Dmd%2D8%7Bwidth%3A66%2E66666667%25%7D%2Ecol%2Dmd%2D7%7Bwidth%3A58%2E33333333%25%7D%2Ecol%2Dmd%2D6%7Bwidth%3A50%25%7D%2Ecol%2Dmd%2D5%7Bwidth%3A41%2E66666667%25%7D%2Ecol%2Dmd%2D4%7Bwidth%3A33%2E33333333%25%7D%2Ecol%2Dmd%2D3%7Bwidth%3A25%25%7D%2Ecol%2Dmd%2D2%7Bwidth%3A16%2E66666667%25%7D%2Ecol%2Dmd%2D1%7Bwidth%3A8%2E33333333%25%7D%2Ecol%2Dmd%2Dpull%2D12%7Bright%3A100%25%7D%2Ecol%2Dmd%2Dpull%2D11%7Bright%3A91%2E66666667%25%7D%2Ecol%2Dmd%2Dpull%2D10%7Bright%3A83%2E33333333%25%7D%2Ecol%2Dmd%2Dpull%2D9%7Bright%3A75%25%7D%2Ecol%2Dmd%2Dpull%2D8%7Bright%3A66%2E66666667%25%7D%2Ecol%2Dmd%2Dpull%2D7%7Bright%3A58%2E33333333%25%7D%2Ecol%2Dmd%2Dpull%2D6%7Bright%3A50%25%7D%2Ecol%2Dmd%2Dpull%2D5%7Bright%3A41%2E66666667%25%7D%2Ecol%2Dmd%2Dpull%2D4%7Bright%3A33%2E33333333%25%7D%2Ecol%2Dmd%2Dpull%2D3%7Bright%3A25%25%7D%2Ecol%2Dmd%2Dpull%2D2%7Bright%3A16%2E66666667%25%7D%2Ecol%2Dmd%2Dpull%2D1%7Bright%3A8%2E33333333%25%7D%2Ecol%2Dmd%2Dpull%2D0%7Bright%3Aauto%7D%2Ecol%2Dmd%2Dpush%2D12%7Bleft%3A100%25%7D%2Ecol%2Dmd%2Dpush%2D11%7Bleft%3A91%2E66666667%25%7D%2Ecol%2Dmd%2Dpush%2D10%7Bleft%3A83%2E33333333%25%7D%2Ecol%2Dmd%2Dpush%2D9%7Bleft%3A75%25%7D%2Ecol%2Dmd%2Dpush%2D8%7Bleft%3A66%2E66666667%25%7D%2Ecol%2Dmd%2Dpush%2D7%7Bleft%3A58%2E33333333%25%7D%2Ecol%2Dmd%2Dpush%2D6%7Bleft%3A50%25%7D%2Ecol%2Dmd%2Dpush%2D5%7Bleft%3A41%2E66666667%25%7D%2Ecol%2Dmd%2Dpush%2D4%7Bleft%3A33%2E33333333%25%7D%2Ecol%2Dmd%2Dpush%2D3%7Bleft%3A25%25%7D%2Ecol%2Dmd%2Dpush%2D2%7Bleft%3A16%2E66666667%25%7D%2Ecol%2Dmd%2Dpush%2D1%7Bleft%3A8%2E33333333%25%7D%2Ecol%2Dmd%2Dpush%2D0%7Bleft%3Aauto%7D%2Ecol%2Dmd%2Doffset%2D12%7Bmargin%2Dleft%3A100%25%7D%2Ecol%2Dmd%2Doffset%2D11%7Bmargin%2Dleft%3A91%2E66666667%25%7D%2Ecol%2Dmd%2Doffset%2D10%7Bmargin%2Dleft%3A83%2E33333333%25%7D%2Ecol%2Dmd%2Doffset%2D9%7Bmargin%2Dleft%3A75%25%7D%2Ecol%2Dmd%2Doffset%2D8%7Bmargin%2Dleft%3A66%2E66666667%25%7D%2Ecol%2Dmd%2Doffset%2D7%7Bmargin%2Dleft%3A58%2E33333333%25%7D%2Ecol%2Dmd%2Doffset%2D6%7Bmargin%2Dleft%3A50%25%7D%2Ecol%2Dmd%2Doffset%2D5%7Bmargin%2Dleft%3A41%2E66666667%25%7D%2Ecol%2Dmd%2Doffset%2D4%7Bmargin%2Dleft%3A33%2E33333333%25%7D%2Ecol%2Dmd%2Doffset%2D3%7Bmargin%2Dleft%3A25%25%7D%2Ecol%2Dmd%2Doffset%2D2%7Bmargin%2Dleft%3A16%2E66666667%25%7D%2Ecol%2Dmd%2Doffset%2D1%7Bmargin%2Dleft%3A8%2E33333333%25%7D%2Ecol%2Dmd%2Doffset%2D0%7Bmargin%2Dleft%3A0%7D%7D%40media%20%28min%2Dwidth%3A1200px%29%7B%2Ecol%2Dlg%2D1%2C%2Ecol%2Dlg%2D10%2C%2Ecol%2Dlg%2D11%2C%2Ecol%2Dlg%2D12%2C%2Ecol%2Dlg%2D2%2C%2Ecol%2Dlg%2D3%2C%2Ecol%2Dlg%2D4%2C%2Ecol%2Dlg%2D5%2C%2Ecol%2Dlg%2D6%2C%2Ecol%2Dlg%2D7%2C%2Ecol%2Dlg%2D8%2C%2Ecol%2Dlg%2D9%7Bfloat%3Aleft%7D%2Ecol%2Dlg%2D12%7Bwidth%3A100%25%7D%2Ecol%2Dlg%2D11%7Bwidth%3A91%2E66666667%25%7D%2Ecol%2Dlg%2D10%7Bwidth%3A83%2E33333333%25%7D%2Ecol%2Dlg%2D9%7Bwidth%3A75%25%7D%2Ecol%2Dlg%2D8%7Bwidth%3A66%2E66666667%25%7D%2Ecol%2Dlg%2D7%7Bwidth%3A58%2E33333333%25%7D%2Ecol%2Dlg%2D6%7Bwidth%3A50%25%7D%2Ecol%2Dlg%2D5%7Bwidth%3A41%2E66666667%25%7D%2Ecol%2Dlg%2D4%7Bwidth%3A33%2E33333333%25%7D%2Ecol%2Dlg%2D3%7Bwidth%3A25%25%7D%2Ecol%2Dlg%2D2%7Bwidth%3A16%2E66666667%25%7D%2Ecol%2Dlg%2D1%7Bwidth%3A8%2E33333333%25%7D%2Ecol%2Dlg%2Dpull%2D12%7Bright%3A100%25%7D%2Ecol%2Dlg%2Dpull%2D11%7Bright%3A91%2E66666667%25%7D%2Ecol%2Dlg%2Dpull%2D10%7Bright%3A83%2E33333333%25%7D%2Ecol%2Dlg%2Dpull%2D9%7Bright%3A75%25%7D%2Ecol%2Dlg%2Dpull%2D8%7Bright%3A66%2E66666667%25%7D%2Ecol%2Dlg%2Dpull%2D7%7Bright%3A58%2E33333333%25%7D%2Ecol%2Dlg%2Dpull%2D6%7Bright%3A50%25%7D%2Ecol%2Dlg%2Dpull%2D5%7Bright%3A41%2E66666667%25%7D%2Ecol%2Dlg%2Dpull%2D4%7Bright%3A33%2E33333333%25%7D%2Ecol%2Dlg%2Dpull%2D3%7Bright%3A25%25%7D%2Ecol%2Dlg%2Dpull%2D2%7Bright%3A16%2E66666667%25%7D%2Ecol%2Dlg%2Dpull%2D1%7Bright%3A8%2E33333333%25%7D%2Ecol%2Dlg%2Dpull%2D0%7Bright%3Aauto%7D%2Ecol%2Dlg%2Dpush%2D12%7Bleft%3A100%25%7D%2Ecol%2Dlg%2Dpush%2D11%7Bleft%3A91%2E66666667%25%7D%2Ecol%2Dlg%2Dpush%2D10%7Bleft%3A83%2E33333333%25%7D%2Ecol%2Dlg%2Dpush%2D9%7Bleft%3A75%25%7D%2Ecol%2Dlg%2Dpush%2D8%7Bleft%3A66%2E66666667%25%7D%2Ecol%2Dlg%2Dpush%2D7%7Bleft%3A58%2E33333333%25%7D%2Ecol%2Dlg%2Dpush%2D6%7Bleft%3A50%25%7D%2Ecol%2Dlg%2Dpush%2D5%7Bleft%3A41%2E66666667%25%7D%2Ecol%2Dlg%2Dpush%2D4%7Bleft%3A33%2E33333333%25%7D%2Ecol%2Dlg%2Dpush%2D3%7Bleft%3A25%25%7D%2Ecol%2Dlg%2Dpush%2D2%7Bleft%3A16%2E66666667%25%7D%2Ecol%2Dlg%2Dpush%2D1%7Bleft%3A8%2E33333333%25%7D%2Ecol%2Dlg%2Dpush%2D0%7Bleft%3Aauto%7D%2Ecol%2Dlg%2Doffset%2D12%7Bmargin%2Dleft%3A100%25%7D%2Ecol%2Dlg%2Doffset%2D11%7Bmargin%2Dleft%3A91%2E66666667%25%7D%2Ecol%2Dlg%2Doffset%2D10%7Bmargin%2Dleft%3A83%2E33333333%25%7D%2Ecol%2Dlg%2Doffset%2D9%7Bmargin%2Dleft%3A75%25%7D%2Ecol%2Dlg%2Doffset%2D8%7Bmargin%2Dleft%3A66%2E66666667%25%7D%2Ecol%2Dlg%2Doffset%2D7%7Bmargin%2Dleft%3A58%2E33333333%25%7D%2Ecol%2Dlg%2Doffset%2D6%7Bmargin%2Dleft%3A50%25%7D%2Ecol%2Dlg%2Doffset%2D5%7Bmargin%2Dleft%3A41%2E66666667%25%7D%2Ecol%2Dlg%2Doffset%2D4%7Bmargin%2Dleft%3A33%2E33333333%25%7D%2Ecol%2Dlg%2Doffset%2D3%7Bmargin%2Dleft%3A25%25%7D%2Ecol%2Dlg%2Doffset%2D2%7Bmargin%2Dleft%3A16%2E66666667%25%7D%2Ecol%2Dlg%2Doffset%2D1%7Bmargin%2Dleft%3A8%2E33333333%25%7D%2Ecol%2Dlg%2Doffset%2D0%7Bmargin%2Dleft%3A0%7D%7Dtable%7Bbackground%2Dcolor%3Atransparent%7Dcaption%7Bpadding%2Dtop%3A8px%3Bpadding%2Dbottom%3A8px%3Bcolor%3A%23777%3Btext%2Dalign%3Aleft%7Dth%7B%7D%2Etable%7Bwidth%3A100%25%3Bmax%2Dwidth%3A100%25%3Bmargin%2Dbottom%3A20px%7D%2Etable%3Etbody%3Etr%3Etd%2C%2Etable%3Etbody%3Etr%3Eth%2C%2Etable%3Etfoot%3Etr%3Etd%2C%2Etable%3Etfoot%3Etr%3Eth%2C%2Etable%3Ethead%3Etr%3Etd%2C%2Etable%3Ethead%3Etr%3Eth%7Bpadding%3A8px%3Bline%2Dheight%3A1%2E42857143%3Bvertical%2Dalign%3Atop%3Bborder%2Dtop%3A1px%20solid%20%23ddd%7D%2Etable%3Ethead%3Etr%3Eth%7Bvertical%2Dalign%3Abottom%3Bborder%2Dbottom%3A2px%20solid%20%23ddd%7D%2Etable%3Ecaption%2Bthead%3Etr%3Afirst%2Dchild%3Etd%2C%2Etable%3Ecaption%2Bthead%3Etr%3Afirst%2Dchild%3Eth%2C%2Etable%3Ecolgroup%2Bthead%3Etr%3Afirst%2Dchild%3Etd%2C%2Etable%3Ecolgroup%2Bthead%3Etr%3Afirst%2Dchild%3Eth%2C%2Etable%3Ethead%3Afirst%2Dchild%3Etr%3Afirst%2Dchild%3Etd%2C%2Etable%3Ethead%3Afirst%2Dchild%3Etr%3Afirst%2Dchild%3Eth%7Bborder%2Dtop%3A0%7D%2Etable%3Etbody%2Btbody%7Bborder%2Dtop%3A2px%20solid%20%23ddd%7D%2Etable%20%2Etable%7Bbackground%2Dcolor%3A%23fff%7D%2Etable%2Dcondensed%3Etbody%3Etr%3Etd%2C%2Etable%2Dcondensed%3Etbody%3Etr%3Eth%2C%2Etable%2Dcondensed%3Etfoot%3Etr%3Etd%2C%2Etable%2Dcondensed%3Etfoot%3Etr%3Eth%2C%2Etable%2Dcondensed%3Ethead%3Etr%3Etd%2C%2Etable%2Dcondensed%3Ethead%3Etr%3Eth%7Bpadding%3A5px%7D%2Etable%2Dbordered%7Bborder%3A1px%20solid%20%23ddd%7D%2Etable%2Dbordered%3Etbody%3Etr%3Etd%2C%2Etable%2Dbordered%3Etbody%3Etr%3Eth%2C%2Etable%2Dbordered%3Etfoot%3Etr%3Etd%2C%2Etable%2Dbordered%3Etfoot%3Etr%3Eth%2C%2Etable%2Dbordered%3Ethead%3Etr%3Etd%2C%2Etable%2Dbordered%3Ethead%3Etr%3Eth%7Bborder%3A1px%20solid%20%23ddd%7D%2Etable%2Dbordered%3Ethead%3Etr%3Etd%2C%2Etable%2Dbordered%3Ethead%3Etr%3Eth%7Bborder%2Dbottom%2Dwidth%3A2px%7D%2Etable%2Dstriped%3Etbody%3Etr%3Anth%2Dof%2Dtype%28odd%29%7Bbackground%2Dcolor%3A%23f9f9f9%7D%2Etable%2Dhover%3Etbody%3Etr%3Ahover%7Bbackground%2Dcolor%3A%23f5f5f5%7Dtable%20col%5Bclass%2A%3Dcol%2D%5D%7Bposition%3Astatic%3Bdisplay%3Atable%2Dcolumn%3Bfloat%3Anone%7Dtable%20td%5Bclass%2A%3Dcol%2D%5D%2Ctable%20th%5Bclass%2A%3Dcol%2D%5D%7Bposition%3Astatic%3Bdisplay%3Atable%2Dcell%3Bfloat%3Anone%7D%2Etable%3Etbody%3Etr%2Eactive%3Etd%2C%2Etable%3Etbody%3Etr%2Eactive%3Eth%2C%2Etable%3Etbody%3Etr%3Etd%2Eactive%2C%2Etable%3Etbody%3Etr%3Eth%2Eactive%2C%2Etable%3Etfoot%3Etr%2Eactive%3Etd%2C%2Etable%3Etfoot%3Etr%2Eactive%3Eth%2C%2Etable%3Etfoot%3Etr%3Etd%2Eactive%2C%2Etable%3Etfoot%3Etr%3Eth%2Eactive%2C%2Etable%3Ethead%3Etr%2Eactive%3Etd%2C%2Etable%3Ethead%3Etr%2Eactive%3Eth%2C%2Etable%3Ethead%3Etr%3Etd%2Eactive%2C%2Etable%3Ethead%3Etr%3Eth%2Eactive%7Bbackground%2Dcolor%3A%23f5f5f5%7D%2Etable%2Dhover%3Etbody%3Etr%2Eactive%3Ahover%3Etd%2C%2Etable%2Dhover%3Etbody%3Etr%2Eactive%3Ahover%3Eth%2C%2Etable%2Dhover%3Etbody%3Etr%3Ahover%3E%2Eactive%2C%2Etable%2Dhover%3Etbody%3Etr%3Etd%2Eactive%3Ahover%2C%2Etable%2Dhover%3Etbody%3Etr%3Eth%2Eactive%3Ahover%7Bbackground%2Dcolor%3A%23e8e8e8%7D%2Etable%3Etbody%3Etr%2Esuccess%3Etd%2C%2Etable%3Etbody%3Etr%2Esuccess%3Eth%2C%2Etable%3Etbody%3Etr%3Etd%2Esuccess%2C%2Etable%3Etbody%3Etr%3Eth%2Esuccess%2C%2Etable%3Etfoot%3Etr%2Esuccess%3Etd%2C%2Etable%3Etfoot%3Etr%2Esuccess%3Eth%2C%2Etable%3Etfoot%3Etr%3Etd%2Esuccess%2C%2Etable%3Etfoot%3Etr%3Eth%2Esuccess%2C%2Etable%3Ethead%3Etr%2Esuccess%3Etd%2C%2Etable%3Ethead%3Etr%2Esuccess%3Eth%2C%2Etable%3Ethead%3Etr%3Etd%2Esuccess%2C%2Etable%3Ethead%3Etr%3Eth%2Esuccess%7Bbackground%2Dcolor%3A%23dff0d8%7D%2Etable%2Dhover%3Etbody%3Etr%2Esuccess%3Ahover%3Etd%2C%2Etable%2Dhover%3Etbody%3Etr%2Esuccess%3Ahover%3Eth%2C%2Etable%2Dhover%3Etbody%3Etr%3Ahover%3E%2Esuccess%2C%2Etable%2Dhover%3Etbody%3Etr%3Etd%2Esuccess%3Ahover%2C%2Etable%2Dhover%3Etbody%3Etr%3Eth%2Esuccess%3Ahover%7Bbackground%2Dcolor%3A%23d0e9c6%7D%2Etable%3Etbody%3Etr%2Einfo%3Etd%2C%2Etable%3Etbody%3Etr%2Einfo%3Eth%2C%2Etable%3Etbody%3Etr%3Etd%2Einfo%2C%2Etable%3Etbody%3Etr%3Eth%2Einfo%2C%2Etable%3Etfoot%3Etr%2Einfo%3Etd%2C%2Etable%3Etfoot%3Etr%2Einfo%3Eth%2C%2Etable%3Etfoot%3Etr%3Etd%2Einfo%2C%2Etable%3Etfoot%3Etr%3Eth%2Einfo%2C%2Etable%3Ethead%3Etr%2Einfo%3Etd%2C%2Etable%3Ethead%3Etr%2Einfo%3Eth%2C%2Etable%3Ethead%3Etr%3Etd%2Einfo%2C%2Etable%3Ethead%3Etr%3Eth%2Einfo%7Bbackground%2Dcolor%3A%23d9edf7%7D%2Etable%2Dhover%3Etbody%3Etr%2Einfo%3Ahover%3Etd%2C%2Etable%2Dhover%3Etbody%3Etr%2Einfo%3Ahover%3Eth%2C%2Etable%2Dhover%3Etbody%3Etr%3Ahover%3E%2Einfo%2C%2Etable%2Dhover%3Etbody%3Etr%3Etd%2Einfo%3Ahover%2C%2Etable%2Dhover%3Etbody%3Etr%3Eth%2Einfo%3Ahover%7Bbackground%2Dcolor%3A%23c4e3f3%7D%2Etable%3Etbody%3Etr%2Ewarning%3Etd%2C%2Etable%3Etbody%3Etr%2Ewarning%3Eth%2C%2Etable%3Etbody%3Etr%3Etd%2Ewarning%2C%2Etable%3Etbody%3Etr%3Eth%2Ewarning%2C%2Etable%3Etfoot%3Etr%2Ewarning%3Etd%2C%2Etable%3Etfoot%3Etr%2Ewarning%3Eth%2C%2Etable%3Etfoot%3Etr%3Etd%2Ewarning%2C%2Etable%3Etfoot%3Etr%3Eth%2Ewarning%2C%2Etable%3Ethead%3Etr%2Ewarning%3Etd%2C%2Etable%3Ethead%3Etr%2Ewarning%3Eth%2C%2Etable%3Ethead%3Etr%3Etd%2Ewarning%2C%2Etable%3Ethead%3Etr%3Eth%2Ewarning%7Bbackground%2Dcolor%3A%23fcf8e3%7D%2Etable%2Dhover%3Etbody%3Etr%2Ewarning%3Ahover%3Etd%2C%2Etable%2Dhover%3Etbody%3Etr%2Ewarning%3Ahover%3Eth%2C%2Etable%2Dhover%3Etbody%3Etr%3Ahover%3E%2Ewarning%2C%2Etable%2Dhover%3Etbody%3Etr%3Etd%2Ewarning%3Ahover%2C%2Etable%2Dhover%3Etbody%3Etr%3Eth%2Ewarning%3Ahover%7Bbackground%2Dcolor%3A%23faf2cc%7D%2Etable%3Etbody%3Etr%2Edanger%3Etd%2C%2Etable%3Etbody%3Etr%2Edanger%3Eth%2C%2Etable%3Etbody%3Etr%3Etd%2Edanger%2C%2Etable%3Etbody%3Etr%3Eth%2Edanger%2C%2Etable%3Etfoot%3Etr%2Edanger%3Etd%2C%2Etable%3Etfoot%3Etr%2Edanger%3Eth%2C%2Etable%3Etfoot%3Etr%3Etd%2Edanger%2C%2Etable%3Etfoot%3Etr%3Eth%2Edanger%2C%2Etable%3Ethead%3Etr%2Edanger%3Etd%2C%2Etable%3Ethead%3Etr%2Edanger%3Eth%2C%2Etable%3Ethead%3Etr%3Etd%2Edanger%2C%2Etable%3Ethead%3Etr%3Eth%2Edanger%7Bbackground%2Dcolor%3A%23f2dede%7D%2Etable%2Dhover%3Etbody%3Etr%2Edanger%3Ahover%3Etd%2C%2Etable%2Dhover%3Etbody%3Etr%2Edanger%3Ahover%3Eth%2C%2Etable%2Dhover%3Etbody%3Etr%3Ahover%3E%2Edanger%2C%2Etable%2Dhover%3Etbody%3Etr%3Etd%2Edanger%3Ahover%2C%2Etable%2Dhover%3Etbody%3Etr%3Eth%2Edanger%3Ahover%7Bbackground%2Dcolor%3A%23ebcccc%7D%2Etable%2Dresponsive%7Bmin%2Dheight%3A%2E01%25%3Boverflow%2Dx%3Aauto%7D%40media%20screen%20and%20%28max%2Dwidth%3A767px%29%7B%2Etable%2Dresponsive%7Bwidth%3A100%25%3Bmargin%2Dbottom%3A15px%3Boverflow%2Dy%3Ahidden%3B%2Dms%2Doverflow%2Dstyle%3A%2Dms%2Dautohiding%2Dscrollbar%3Bborder%3A1px%20solid%20%23ddd%7D%2Etable%2Dresponsive%3E%2Etable%7Bmargin%2Dbottom%3A0%7D%2Etable%2Dresponsive%3E%2Etable%3Etbody%3Etr%3Etd%2C%2Etable%2Dresponsive%3E%2Etable%3Etbody%3Etr%3Eth%2C%2Etable%2Dresponsive%3E%2Etable%3Etfoot%3Etr%3Etd%2C%2Etable%2Dresponsive%3E%2Etable%3Etfoot%3Etr%3Eth%2C%2Etable%2Dresponsive%3E%2Etable%3Ethead%3Etr%3Etd%2C%2Etable%2Dresponsive%3E%2Etable%3Ethead%3Etr%3Eth%7Bwhite%2Dspace%3Anowrap%7D%2Etable%2Dresponsive%3E%2Etable%2Dbordered%7Bborder%3A0%7D%2Etable%2Dresponsive%3E%2Etable%2Dbordered%3Etbody%3Etr%3Etd%3Afirst%2Dchild%2C%2Etable%2Dresponsive%3E%2Etable%2Dbordered%3Etbody%3Etr%3Eth%3Afirst%2Dchild%2C%2Etable%2Dresponsive%3E%2Etable%2Dbordered%3Etfoot%3Etr%3Etd%3Afirst%2Dchild%2C%2Etable%2Dresponsive%3E%2Etable%2Dbordered%3Etfoot%3Etr%3Eth%3Afirst%2Dchild%2C%2Etable%2Dresponsive%3E%2Etable%2Dbordered%3Ethead%3Etr%3Etd%3Afirst%2Dchild%2C%2Etable%2Dresponsive%3E%2Etable%2Dbordered%3Ethead%3Etr%3Eth%3Afirst%2Dchild%7Bborder%2Dleft%3A0%7D%2Etable%2Dresponsive%3E%2Etable%2Dbordered%3Etbody%3Etr%3Etd%3Alast%2Dchild%2C%2Etable%2Dresponsive%3E%2Etable%2Dbordered%3Etbody%3Etr%3Eth%3Alast%2Dchild%2C%2Etable%2Dresponsive%3E%2Etable%2Dbordered%3Etfoot%3Etr%3Etd%3Alast%2Dchild%2C%2Etable%2Dresponsive%3E%2Etable%2Dbordered%3Etfoot%3Etr%3Eth%3Alast%2Dchild%2C%2Etable%2Dresponsive%3E%2Etable%2Dbordered%3Ethead%3Etr%3Etd%3Alast%2Dchild%2C%2Etable%2Dresponsive%3E%2Etable%2Dbordered%3Ethead%3Etr%3Eth%3Alast%2Dchild%7Bborder%2Dright%3A0%7D%2Etable%2Dresponsive%3E%2Etable%2Dbordered%3Etbody%3Etr%3Alast%2Dchild%3Etd%2C%2Etable%2Dresponsive%3E%2Etable%2Dbordered%3Etbody%3Etr%3Alast%2Dchild%3Eth%2C%2Etable%2Dresponsive%3E%2Etable%2Dbordered%3Etfoot%3Etr%3Alast%2Dchild%3Etd%2C%2Etable%2Dresponsive%3E%2Etable%2Dbordered%3Etfoot%3Etr%3Alast%2Dchild%3Eth%7Bborder%2Dbottom%3A0%7D%7Dfieldset%7Bmin%2Dwidth%3A0%3Bpadding%3A0%3Bmargin%3A0%3Bborder%3A0%7Dlegend%7Bdisplay%3Ablock%3Bwidth%3A100%25%3Bpadding%3A0%3Bmargin%2Dbottom%3A20px%3Bfont%2Dsize%3A21px%3Bline%2Dheight%3Ainherit%3Bcolor%3A%23333%3Bborder%3A0%3Bborder%2Dbottom%3A1px%20solid%20%23e5e5e5%7Dlabel%7Bdisplay%3Ainline%2Dblock%3Bmax%2Dwidth%3A100%25%3Bmargin%2Dbottom%3A5px%3Bfont%2Dweight%3A700%7Dinput%5Btype%3Dsearch%5D%7B%2Dwebkit%2Dbox%2Dsizing%3Aborder%2Dbox%3B%2Dmoz%2Dbox%2Dsizing%3Aborder%2Dbox%3Bbox%2Dsizing%3Aborder%2Dbox%7Dinput%5Btype%3Dcheckbox%5D%2Cinput%5Btype%3Dradio%5D%7Bmargin%3A4px%200%200%3Bmargin%2Dtop%3A1px%5C9%3Bline%2Dheight%3Anormal%7Dinput%5Btype%3Dfile%5D%7Bdisplay%3Ablock%7Dinput%5Btype%3Drange%5D%7Bdisplay%3Ablock%3Bwidth%3A100%25%7Dselect%5Bmultiple%5D%2Cselect%5Bsize%5D%7Bheight%3Aauto%7Dinput%5Btype%3Dfile%5D%3Afocus%2Cinput%5Btype%3Dcheckbox%5D%3Afocus%2Cinput%5Btype%3Dradio%5D%3Afocus%7Boutline%3Athin%20dotted%3Boutline%3A5px%20auto%20%2Dwebkit%2Dfocus%2Dring%2Dcolor%3Boutline%2Doffset%3A%2D2px%7Doutput%7Bdisplay%3Ablock%3Bpadding%2Dtop%3A7px%3Bfont%2Dsize%3A14px%3Bline%2Dheight%3A1%2E42857143%3Bcolor%3A%23555%7D%2Eform%2Dcontrol%7Bdisplay%3Ablock%3Bwidth%3A100%25%3Bheight%3A34px%3Bpadding%3A6px%2012px%3Bfont%2Dsize%3A14px%3Bline%2Dheight%3A1%2E42857143%3Bcolor%3A%23555%3Bbackground%2Dcolor%3A%23fff%3Bbackground%2Dimage%3Anone%3Bborder%3A1px%20solid%20%23ccc%3Bborder%2Dradius%3A4px%3B%2Dwebkit%2Dbox%2Dshadow%3Ainset%200%201px%201px%20rgba%280%2C0%2C0%2C%2E075%29%3Bbox%2Dshadow%3Ainset%200%201px%201px%20rgba%280%2C0%2C0%2C%2E075%29%3B%2Dwebkit%2Dtransition%3Aborder%2Dcolor%20ease%2Din%2Dout%20%2E15s%2C%2Dwebkit%2Dbox%2Dshadow%20ease%2Din%2Dout%20%2E15s%3B%2Do%2Dtransition%3Aborder%2Dcolor%20ease%2Din%2Dout%20%2E15s%2Cbox%2Dshadow%20ease%2Din%2Dout%20%2E15s%3Btransition%3Aborder%2Dcolor%20ease%2Din%2Dout%20%2E15s%2Cbox%2Dshadow%20ease%2Din%2Dout%20%2E15s%7D%2Eform%2Dcontrol%3Afocus%7Bborder%2Dcolor%3A%2366afe9%3Boutline%3A0%3B%2Dwebkit%2Dbox%2Dshadow%3Ainset%200%201px%201px%20rgba%280%2C0%2C0%2C%2E075%29%2C0%200%208px%20rgba%28102%2C175%2C233%2C%2E6%29%3Bbox%2Dshadow%3Ainset%200%201px%201px%20rgba%280%2C0%2C0%2C%2E075%29%2C0%200%208px%20rgba%28102%2C175%2C233%2C%2E6%29%7D%2Eform%2Dcontrol%3A%3A%2Dmoz%2Dplaceholder%7Bcolor%3A%23999%3Bopacity%3A1%7D%2Eform%2Dcontrol%3A%2Dms%2Dinput%2Dplaceholder%7Bcolor%3A%23999%7D%2Eform%2Dcontrol%3A%3A%2Dwebkit%2Dinput%2Dplaceholder%7Bcolor%3A%23999%7D%2Eform%2Dcontrol%5Bdisabled%5D%2C%2Eform%2Dcontrol%5Breadonly%5D%2Cfieldset%5Bdisabled%5D%20%2Eform%2Dcontrol%7Bbackground%2Dcolor%3A%23eee%3Bopacity%3A1%7D%2Eform%2Dcontrol%5Bdisabled%5D%2Cfieldset%5Bdisabled%5D%20%2Eform%2Dcontrol%7Bcursor%3Anot%2Dallowed%7Dtextarea%2Eform%2Dcontrol%7Bheight%3Aauto%7Dinput%5Btype%3Dsearch%5D%7B%2Dwebkit%2Dappearance%3Anone%7D%40media%20screen%20and%20%28%2Dwebkit%2Dmin%2Ddevice%2Dpixel%2Dratio%3A0%29%7Binput%5Btype%3Ddate%5D%2Eform%2Dcontrol%2Cinput%5Btype%3Dtime%5D%2Eform%2Dcontrol%2Cinput%5Btype%3Ddatetime%2Dlocal%5D%2Eform%2Dcontrol%2Cinput%5Btype%3Dmonth%5D%2Eform%2Dcontrol%7Bline%2Dheight%3A34px%7D%2Einput%2Dgroup%2Dsm%20input%5Btype%3Ddate%5D%2C%2Einput%2Dgroup%2Dsm%20input%5Btype%3Dtime%5D%2C%2Einput%2Dgroup%2Dsm%20input%5Btype%3Ddatetime%2Dlocal%5D%2C%2Einput%2Dgroup%2Dsm%20input%5Btype%3Dmonth%5D%2Cinput%5Btype%3Ddate%5D%2Einput%2Dsm%2Cinput%5Btype%3Dtime%5D%2Einput%2Dsm%2Cinput%5Btype%3Ddatetime%2Dlocal%5D%2Einput%2Dsm%2Cinput%5Btype%3Dmonth%5D%2Einput%2Dsm%7Bline%2Dheight%3A30px%7D%2Einput%2Dgroup%2Dlg%20input%5Btype%3Ddate%5D%2C%2Einput%2Dgroup%2Dlg%20input%5Btype%3Dtime%5D%2C%2Einput%2Dgroup%2Dlg%20input%5Btype%3Ddatetime%2Dlocal%5D%2C%2Einput%2Dgroup%2Dlg%20input%5Btype%3Dmonth%5D%2Cinput%5Btype%3Ddate%5D%2Einput%2Dlg%2Cinput%5Btype%3Dtime%5D%2Einput%2Dlg%2Cinput%5Btype%3Ddatetime%2Dlocal%5D%2Einput%2Dlg%2Cinput%5Btype%3Dmonth%5D%2Einput%2Dlg%7Bline%2Dheight%3A46px%7D%7D%2Eform%2Dgroup%7Bmargin%2Dbottom%3A15px%7D%2Echeckbox%2C%2Eradio%7Bposition%3Arelative%3Bdisplay%3Ablock%3Bmargin%2Dtop%3A10px%3Bmargin%2Dbottom%3A10px%7D%2Echeckbox%20label%2C%2Eradio%20label%7Bmin%2Dheight%3A20px%3Bpadding%2Dleft%3A20px%3Bmargin%2Dbottom%3A0%3Bfont%2Dweight%3A400%3Bcursor%3Apointer%7D%2Echeckbox%20input%5Btype%3Dcheckbox%5D%2C%2Echeckbox%2Dinline%20input%5Btype%3Dcheckbox%5D%2C%2Eradio%20input%5Btype%3Dradio%5D%2C%2Eradio%2Dinline%20input%5Btype%3Dradio%5D%7Bposition%3Aabsolute%3Bmargin%2Dtop%3A4px%5C9%3Bmargin%2Dleft%3A%2D20px%7D%2Echeckbox%2B%2Echeckbox%2C%2Eradio%2B%2Eradio%7Bmargin%2Dtop%3A%2D5px%7D%2Echeckbox%2Dinline%2C%2Eradio%2Dinline%7Bposition%3Arelative%3Bdisplay%3Ainline%2Dblock%3Bpadding%2Dleft%3A20px%3Bmargin%2Dbottom%3A0%3Bfont%2Dweight%3A400%3Bvertical%2Dalign%3Amiddle%3Bcursor%3Apointer%7D%2Echeckbox%2Dinline%2B%2Echeckbox%2Dinline%2C%2Eradio%2Dinline%2B%2Eradio%2Dinline%7Bmargin%2Dtop%3A0%3Bmargin%2Dleft%3A10px%7Dfieldset%5Bdisabled%5D%20input%5Btype%3Dcheckbox%5D%2Cfieldset%5Bdisabled%5D%20input%5Btype%3Dradio%5D%2Cinput%5Btype%3Dcheckbox%5D%2Edisabled%2Cinput%5Btype%3Dcheckbox%5D%5Bdisabled%5D%2Cinput%5Btype%3Dradio%5D%2Edisabled%2Cinput%5Btype%3Dradio%5D%5Bdisabled%5D%7Bcursor%3Anot%2Dallowed%7D%2Echeckbox%2Dinline%2Edisabled%2C%2Eradio%2Dinline%2Edisabled%2Cfieldset%5Bdisabled%5D%20%2Echeckbox%2Dinline%2Cfieldset%5Bdisabled%5D%20%2Eradio%2Dinline%7Bcursor%3Anot%2Dallowed%7D%2Echeckbox%2Edisabled%20label%2C%2Eradio%2Edisabled%20label%2Cfieldset%5Bdisabled%5D%20%2Echeckbox%20label%2Cfieldset%5Bdisabled%5D%20%2Eradio%20label%7Bcursor%3Anot%2Dallowed%7D%2Eform%2Dcontrol%2Dstatic%7Bmin%2Dheight%3A34px%3Bpadding%2Dtop%3A7px%3Bpadding%2Dbottom%3A7px%3Bmargin%2Dbottom%3A0%7D%2Eform%2Dcontrol%2Dstatic%2Einput%2Dlg%2C%2Eform%2Dcontrol%2Dstatic%2Einput%2Dsm%7Bpadding%2Dright%3A0%3Bpadding%2Dleft%3A0%7D%2Einput%2Dsm%7Bheight%3A30px%3Bpadding%3A5px%2010px%3Bfont%2Dsize%3A12px%3Bline%2Dheight%3A1%2E5%3Bborder%2Dradius%3A3px%7Dselect%2Einput%2Dsm%7Bheight%3A30px%3Bline%2Dheight%3A30px%7Dselect%5Bmultiple%5D%2Einput%2Dsm%2Ctextarea%2Einput%2Dsm%7Bheight%3Aauto%7D%2Eform%2Dgroup%2Dsm%20%2Eform%2Dcontrol%7Bheight%3A30px%3Bpadding%3A5px%2010px%3Bfont%2Dsize%3A12px%3Bline%2Dheight%3A1%2E5%3Bborder%2Dradius%3A3px%7D%2Eform%2Dgroup%2Dsm%20select%2Eform%2Dcontrol%7Bheight%3A30px%3Bline%2Dheight%3A30px%7D%2Eform%2Dgroup%2Dsm%20select%5Bmultiple%5D%2Eform%2Dcontrol%2C%2Eform%2Dgroup%2Dsm%20textarea%2Eform%2Dcontrol%7Bheight%3Aauto%7D%2Eform%2Dgroup%2Dsm%20%2Eform%2Dcontrol%2Dstatic%7Bheight%3A30px%3Bmin%2Dheight%3A32px%3Bpadding%3A6px%2010px%3Bfont%2Dsize%3A12px%3Bline%2Dheight%3A1%2E5%7D%2Einput%2Dlg%7Bheight%3A46px%3Bpadding%3A10px%2016px%3Bfont%2Dsize%3A18px%3Bline%2Dheight%3A1%2E3333333%3Bborder%2Dradius%3A6px%7Dselect%2Einput%2Dlg%7Bheight%3A46px%3Bline%2Dheight%3A46px%7Dselect%5Bmultiple%5D%2Einput%2Dlg%2Ctextarea%2Einput%2Dlg%7Bheight%3Aauto%7D%2Eform%2Dgroup%2Dlg%20%2Eform%2Dcontrol%7Bheight%3A46px%3Bpadding%3A10px%2016px%3Bfont%2Dsize%3A18px%3Bline%2Dheight%3A1%2E3333333%3Bborder%2Dradius%3A6px%7D%2Eform%2Dgroup%2Dlg%20select%2Eform%2Dcontrol%7Bheight%3A46px%3Bline%2Dheight%3A46px%7D%2Eform%2Dgroup%2Dlg%20select%5Bmultiple%5D%2Eform%2Dcontrol%2C%2Eform%2Dgroup%2Dlg%20textarea%2Eform%2Dcontrol%7Bheight%3Aauto%7D%2Eform%2Dgroup%2Dlg%20%2Eform%2Dcontrol%2Dstatic%7Bheight%3A46px%3Bmin%2Dheight%3A38px%3Bpadding%3A11px%2016px%3Bfont%2Dsize%3A18px%3Bline%2Dheight%3A1%2E3333333%7D%2Ehas%2Dfeedback%7Bposition%3Arelative%7D%2Ehas%2Dfeedback%20%2Eform%2Dcontrol%7Bpadding%2Dright%3A42%2E5px%7D%2Eform%2Dcontrol%2Dfeedback%7Bposition%3Aabsolute%3Btop%3A0%3Bright%3A0%3Bz%2Dindex%3A2%3Bdisplay%3Ablock%3Bwidth%3A34px%3Bheight%3A34px%3Bline%2Dheight%3A34px%3Btext%2Dalign%3Acenter%3Bpointer%2Devents%3Anone%7D%2Eform%2Dgroup%2Dlg%20%2Eform%2Dcontrol%2B%2Eform%2Dcontrol%2Dfeedback%2C%2Einput%2Dgroup%2Dlg%2B%2Eform%2Dcontrol%2Dfeedback%2C%2Einput%2Dlg%2B%2Eform%2Dcontrol%2Dfeedback%7Bwidth%3A46px%3Bheight%3A46px%3Bline%2Dheight%3A46px%7D%2Eform%2Dgroup%2Dsm%20%2Eform%2Dcontrol%2B%2Eform%2Dcontrol%2Dfeedback%2C%2Einput%2Dgroup%2Dsm%2B%2Eform%2Dcontrol%2Dfeedback%2C%2Einput%2Dsm%2B%2Eform%2Dcontrol%2Dfeedback%7Bwidth%3A30px%3Bheight%3A30px%3Bline%2Dheight%3A30px%7D%2Ehas%2Dsuccess%20%2Echeckbox%2C%2Ehas%2Dsuccess%20%2Echeckbox%2Dinline%2C%2Ehas%2Dsuccess%20%2Econtrol%2Dlabel%2C%2Ehas%2Dsuccess%20%2Ehelp%2Dblock%2C%2Ehas%2Dsuccess%20%2Eradio%2C%2Ehas%2Dsuccess%20%2Eradio%2Dinline%2C%2Ehas%2Dsuccess%2Echeckbox%20label%2C%2Ehas%2Dsuccess%2Echeckbox%2Dinline%20label%2C%2Ehas%2Dsuccess%2Eradio%20label%2C%2Ehas%2Dsuccess%2Eradio%2Dinline%20label%7Bcolor%3A%233c763d%7D%2Ehas%2Dsuccess%20%2Eform%2Dcontrol%7Bborder%2Dcolor%3A%233c763d%3B%2Dwebkit%2Dbox%2Dshadow%3Ainset%200%201px%201px%20rgba%280%2C0%2C0%2C%2E075%29%3Bbox%2Dshadow%3Ainset%200%201px%201px%20rgba%280%2C0%2C0%2C%2E075%29%7D%2Ehas%2Dsuccess%20%2Eform%2Dcontrol%3Afocus%7Bborder%2Dcolor%3A%232b542c%3B%2Dwebkit%2Dbox%2Dshadow%3Ainset%200%201px%201px%20rgba%280%2C0%2C0%2C%2E075%29%2C0%200%206px%20%2367b168%3Bbox%2Dshadow%3Ainset%200%201px%201px%20rgba%280%2C0%2C0%2C%2E075%29%2C0%200%206px%20%2367b168%7D%2Ehas%2Dsuccess%20%2Einput%2Dgroup%2Daddon%7Bcolor%3A%233c763d%3Bbackground%2Dcolor%3A%23dff0d8%3Bborder%2Dcolor%3A%233c763d%7D%2Ehas%2Dsuccess%20%2Eform%2Dcontrol%2Dfeedback%7Bcolor%3A%233c763d%7D%2Ehas%2Dwarning%20%2Echeckbox%2C%2Ehas%2Dwarning%20%2Echeckbox%2Dinline%2C%2Ehas%2Dwarning%20%2Econtrol%2Dlabel%2C%2Ehas%2Dwarning%20%2Ehelp%2Dblock%2C%2Ehas%2Dwarning%20%2Eradio%2C%2Ehas%2Dwarning%20%2Eradio%2Dinline%2C%2Ehas%2Dwarning%2Echeckbox%20label%2C%2Ehas%2Dwarning%2Echeckbox%2Dinline%20label%2C%2Ehas%2Dwarning%2Eradio%20label%2C%2Ehas%2Dwarning%2Eradio%2Dinline%20label%7Bcolor%3A%238a6d3b%7D%2Ehas%2Dwarning%20%2Eform%2Dcontrol%7Bborder%2Dcolor%3A%238a6d3b%3B%2Dwebkit%2Dbox%2Dshadow%3Ainset%200%201px%201px%20rgba%280%2C0%2C0%2C%2E075%29%3Bbox%2Dshadow%3Ainset%200%201px%201px%20rgba%280%2C0%2C0%2C%2E075%29%7D%2Ehas%2Dwarning%20%2Eform%2Dcontrol%3Afocus%7Bborder%2Dcolor%3A%2366512c%3B%2Dwebkit%2Dbox%2Dshadow%3Ainset%200%201px%201px%20rgba%280%2C0%2C0%2C%2E075%29%2C0%200%206px%20%23c0a16b%3Bbox%2Dshadow%3Ainset%200%201px%201px%20rgba%280%2C0%2C0%2C%2E075%29%2C0%200%206px%20%23c0a16b%7D%2Ehas%2Dwarning%20%2Einput%2Dgroup%2Daddon%7Bcolor%3A%238a6d3b%3Bbackground%2Dcolor%3A%23fcf8e3%3Bborder%2Dcolor%3A%238a6d3b%7D%2Ehas%2Dwarning%20%2Eform%2Dcontrol%2Dfeedback%7Bcolor%3A%238a6d3b%7D%2Ehas%2Derror%20%2Echeckbox%2C%2Ehas%2Derror%20%2Echeckbox%2Dinline%2C%2Ehas%2Derror%20%2Econtrol%2Dlabel%2C%2Ehas%2Derror%20%2Ehelp%2Dblock%2C%2Ehas%2Derror%20%2Eradio%2C%2Ehas%2Derror%20%2Eradio%2Dinline%2C%2Ehas%2Derror%2Echeckbox%20label%2C%2Ehas%2Derror%2Echeckbox%2Dinline%20label%2C%2Ehas%2Derror%2Eradio%20label%2C%2Ehas%2Derror%2Eradio%2Dinline%20label%7Bcolor%3A%23a94442%7D%2Ehas%2Derror%20%2Eform%2Dcontrol%7Bborder%2Dcolor%3A%23a94442%3B%2Dwebkit%2Dbox%2Dshadow%3Ainset%200%201px%201px%20rgba%280%2C0%2C0%2C%2E075%29%3Bbox%2Dshadow%3Ainset%200%201px%201px%20rgba%280%2C0%2C0%2C%2E075%29%7D%2Ehas%2Derror%20%2Eform%2Dcontrol%3Afocus%7Bborder%2Dcolor%3A%23843534%3B%2Dwebkit%2Dbox%2Dshadow%3Ainset%200%201px%201px%20rgba%280%2C0%2C0%2C%2E075%29%2C0%200%206px%20%23ce8483%3Bbox%2Dshadow%3Ainset%200%201px%201px%20rgba%280%2C0%2C0%2C%2E075%29%2C0%200%206px%20%23ce8483%7D%2Ehas%2Derror%20%2Einput%2Dgroup%2Daddon%7Bcolor%3A%23a94442%3Bbackground%2Dcolor%3A%23f2dede%3Bborder%2Dcolor%3A%23a94442%7D%2Ehas%2Derror%20%2Eform%2Dcontrol%2Dfeedback%7Bcolor%3A%23a94442%7D%2Ehas%2Dfeedback%20label%7E%2Eform%2Dcontrol%2Dfeedback%7Btop%3A25px%7D%2Ehas%2Dfeedback%20label%2Esr%2Donly%7E%2Eform%2Dcontrol%2Dfeedback%7Btop%3A0%7D%2Ehelp%2Dblock%7Bdisplay%3Ablock%3Bmargin%2Dtop%3A5px%3Bmargin%2Dbottom%3A10px%3Bcolor%3A%23737373%7D%40media%20%28min%2Dwidth%3A768px%29%7B%2Eform%2Dinline%20%2Eform%2Dgroup%7Bdisplay%3Ainline%2Dblock%3Bmargin%2Dbottom%3A0%3Bvertical%2Dalign%3Amiddle%7D%2Eform%2Dinline%20%2Eform%2Dcontrol%7Bdisplay%3Ainline%2Dblock%3Bwidth%3Aauto%3Bvertical%2Dalign%3Amiddle%7D%2Eform%2Dinline%20%2Eform%2Dcontrol%2Dstatic%7Bdisplay%3Ainline%2Dblock%7D%2Eform%2Dinline%20%2Einput%2Dgroup%7Bdisplay%3Ainline%2Dtable%3Bvertical%2Dalign%3Amiddle%7D%2Eform%2Dinline%20%2Einput%2Dgroup%20%2Eform%2Dcontrol%2C%2Eform%2Dinline%20%2Einput%2Dgroup%20%2Einput%2Dgroup%2Daddon%2C%2Eform%2Dinline%20%2Einput%2Dgroup%20%2Einput%2Dgroup%2Dbtn%7Bwidth%3Aauto%7D%2Eform%2Dinline%20%2Einput%2Dgroup%3E%2Eform%2Dcontrol%7Bwidth%3A100%25%7D%2Eform%2Dinline%20%2Econtrol%2Dlabel%7Bmargin%2Dbottom%3A0%3Bvertical%2Dalign%3Amiddle%7D%2Eform%2Dinline%20%2Echeckbox%2C%2Eform%2Dinline%20%2Eradio%7Bdisplay%3Ainline%2Dblock%3Bmargin%2Dtop%3A0%3Bmargin%2Dbottom%3A0%3Bvertical%2Dalign%3Amiddle%7D%2Eform%2Dinline%20%2Echeckbox%20label%2C%2Eform%2Dinline%20%2Eradio%20label%7Bpadding%2Dleft%3A0%7D%2Eform%2Dinline%20%2Echeckbox%20input%5Btype%3Dcheckbox%5D%2C%2Eform%2Dinline%20%2Eradio%20input%5Btype%3Dradio%5D%7Bposition%3Arelative%3Bmargin%2Dleft%3A0%7D%2Eform%2Dinline%20%2Ehas%2Dfeedback%20%2Eform%2Dcontrol%2Dfeedback%7Btop%3A0%7D%7D%2Eform%2Dhorizontal%20%2Echeckbox%2C%2Eform%2Dhorizontal%20%2Echeckbox%2Dinline%2C%2Eform%2Dhorizontal%20%2Eradio%2C%2Eform%2Dhorizontal%20%2Eradio%2Dinline%7Bpadding%2Dtop%3A7px%3Bmargin%2Dtop%3A0%3Bmargin%2Dbottom%3A0%7D%2Eform%2Dhorizontal%20%2Echeckbox%2C%2Eform%2Dhorizontal%20%2Eradio%7Bmin%2Dheight%3A27px%7D%2Eform%2Dhorizontal%20%2Eform%2Dgroup%7Bmargin%2Dright%3A%2D15px%3Bmargin%2Dleft%3A%2D15px%7D%40media%20%28min%2Dwidth%3A768px%29%7B%2Eform%2Dhorizontal%20%2Econtrol%2Dlabel%7Bpadding%2Dtop%3A7px%3Bmargin%2Dbottom%3A0%3Btext%2Dalign%3Aright%7D%7D%2Eform%2Dhorizontal%20%2Ehas%2Dfeedback%20%2Eform%2Dcontrol%2Dfeedback%7Bright%3A15px%7D%40media%20%28min%2Dwidth%3A768px%29%7B%2Eform%2Dhorizontal%20%2Eform%2Dgroup%2Dlg%20%2Econtrol%2Dlabel%7Bpadding%2Dtop%3A14%2E33px%3Bfont%2Dsize%3A18px%7D%7D%40media%20%28min%2Dwidth%3A768px%29%7B%2Eform%2Dhorizontal%20%2Eform%2Dgroup%2Dsm%20%2Econtrol%2Dlabel%7Bpadding%2Dtop%3A6px%3Bfont%2Dsize%3A12px%7D%7D%2Ebtn%7Bdisplay%3Ainline%2Dblock%3Bpadding%3A6px%2012px%3Bmargin%2Dbottom%3A0%3Bfont%2Dsize%3A14px%3Bfont%2Dweight%3A400%3Bline%2Dheight%3A1%2E42857143%3Btext%2Dalign%3Acenter%3Bwhite%2Dspace%3Anowrap%3Bvertical%2Dalign%3Amiddle%3B%2Dms%2Dtouch%2Daction%3Amanipulation%3Btouch%2Daction%3Amanipulation%3Bcursor%3Apointer%3B%2Dwebkit%2Duser%2Dselect%3Anone%3B%2Dmoz%2Duser%2Dselect%3Anone%3B%2Dms%2Duser%2Dselect%3Anone%3Buser%2Dselect%3Anone%3Bbackground%2Dimage%3Anone%3Bborder%3A1px%20solid%20transparent%3Bborder%2Dradius%3A4px%7D%2Ebtn%2Eactive%2Efocus%2C%2Ebtn%2Eactive%3Afocus%2C%2Ebtn%2Efocus%2C%2Ebtn%3Aactive%2Efocus%2C%2Ebtn%3Aactive%3Afocus%2C%2Ebtn%3Afocus%7Boutline%3Athin%20dotted%3Boutline%3A5px%20auto%20%2Dwebkit%2Dfocus%2Dring%2Dcolor%3Boutline%2Doffset%3A%2D2px%7D%2Ebtn%2Efocus%2C%2Ebtn%3Afocus%2C%2Ebtn%3Ahover%7Bcolor%3A%23333%3Btext%2Ddecoration%3Anone%7D%2Ebtn%2Eactive%2C%2Ebtn%3Aactive%7Bbackground%2Dimage%3Anone%3Boutline%3A0%3B%2Dwebkit%2Dbox%2Dshadow%3Ainset%200%203px%205px%20rgba%280%2C0%2C0%2C%2E125%29%3Bbox%2Dshadow%3Ainset%200%203px%205px%20rgba%280%2C0%2C0%2C%2E125%29%7D%2Ebtn%2Edisabled%2C%2Ebtn%5Bdisabled%5D%2Cfieldset%5Bdisabled%5D%20%2Ebtn%7Bcursor%3Anot%2Dallowed%3Bfilter%3Aalpha%28opacity%3D65%29%3B%2Dwebkit%2Dbox%2Dshadow%3Anone%3Bbox%2Dshadow%3Anone%3Bopacity%3A%2E65%7Da%2Ebtn%2Edisabled%2Cfieldset%5Bdisabled%5D%20a%2Ebtn%7Bpointer%2Devents%3Anone%7D%2Ebtn%2Ddefault%7Bcolor%3A%23333%3Bbackground%2Dcolor%3A%23fff%3Bborder%2Dcolor%3A%23ccc%7D%2Ebtn%2Ddefault%2Efocus%2C%2Ebtn%2Ddefault%3Afocus%7Bcolor%3A%23333%3Bbackground%2Dcolor%3A%23e6e6e6%3Bborder%2Dcolor%3A%238c8c8c%7D%2Ebtn%2Ddefault%3Ahover%7Bcolor%3A%23333%3Bbackground%2Dcolor%3A%23e6e6e6%3Bborder%2Dcolor%3A%23adadad%7D%2Ebtn%2Ddefault%2Eactive%2C%2Ebtn%2Ddefault%3Aactive%2C%2Eopen%3E%2Edropdown%2Dtoggle%2Ebtn%2Ddefault%7Bcolor%3A%23333%3Bbackground%2Dcolor%3A%23e6e6e6%3Bborder%2Dcolor%3A%23adadad%7D%2Ebtn%2Ddefault%2Eactive%2Efocus%2C%2Ebtn%2Ddefault%2Eactive%3Afocus%2C%2Ebtn%2Ddefault%2Eactive%3Ahover%2C%2Ebtn%2Ddefault%3Aactive%2Efocus%2C%2Ebtn%2Ddefault%3Aactive%3Afocus%2C%2Ebtn%2Ddefault%3Aactive%3Ahover%2C%2Eopen%3E%2Edropdown%2Dtoggle%2Ebtn%2Ddefault%2Efocus%2C%2Eopen%3E%2Edropdown%2Dtoggle%2Ebtn%2Ddefault%3Afocus%2C%2Eopen%3E%2Edropdown%2Dtoggle%2Ebtn%2Ddefault%3Ahover%7Bcolor%3A%23333%3Bbackground%2Dcolor%3A%23d4d4d4%3Bborder%2Dcolor%3A%238c8c8c%7D%2Ebtn%2Ddefault%2Eactive%2C%2Ebtn%2Ddefault%3Aactive%2C%2Eopen%3E%2Edropdown%2Dtoggle%2Ebtn%2Ddefault%7Bbackground%2Dimage%3Anone%7D%2Ebtn%2Ddefault%2Edisabled%2C%2Ebtn%2Ddefault%2Edisabled%2Eactive%2C%2Ebtn%2Ddefault%2Edisabled%2Efocus%2C%2Ebtn%2Ddefault%2Edisabled%3Aactive%2C%2Ebtn%2Ddefault%2Edisabled%3Afocus%2C%2Ebtn%2Ddefault%2Edisabled%3Ahover%2C%2Ebtn%2Ddefault%5Bdisabled%5D%2C%2Ebtn%2Ddefault%5Bdisabled%5D%2Eactive%2C%2Ebtn%2Ddefault%5Bdisabled%5D%2Efocus%2C%2Ebtn%2Ddefault%5Bdisabled%5D%3Aactive%2C%2Ebtn%2Ddefault%5Bdisabled%5D%3Afocus%2C%2Ebtn%2Ddefault%5Bdisabled%5D%3Ahover%2Cfieldset%5Bdisabled%5D%20%2Ebtn%2Ddefault%2Cfieldset%5Bdisabled%5D%20%2Ebtn%2Ddefault%2Eactive%2Cfieldset%5Bdisabled%5D%20%2Ebtn%2Ddefault%2Efocus%2Cfieldset%5Bdisabled%5D%20%2Ebtn%2Ddefault%3Aactive%2Cfieldset%5Bdisabled%5D%20%2Ebtn%2Ddefault%3Afocus%2Cfieldset%5Bdisabled%5D%20%2Ebtn%2Ddefault%3Ahover%7Bbackground%2Dcolor%3A%23fff%3Bborder%2Dcolor%3A%23ccc%7D%2Ebtn%2Ddefault%20%2Ebadge%7Bcolor%3A%23fff%3Bbackground%2Dcolor%3A%23333%7D%2Ebtn%2Dprimary%7Bcolor%3A%23fff%3Bbackground%2Dcolor%3A%23337ab7%3Bborder%2Dcolor%3A%232e6da4%7D%2Ebtn%2Dprimary%2Efocus%2C%2Ebtn%2Dprimary%3Afocus%7Bcolor%3A%23fff%3Bbackground%2Dcolor%3A%23286090%3Bborder%2Dcolor%3A%23122b40%7D%2Ebtn%2Dprimary%3Ahover%7Bcolor%3A%23fff%3Bbackground%2Dcolor%3A%23286090%3Bborder%2Dcolor%3A%23204d74%7D%2Ebtn%2Dprimary%2Eactive%2C%2Ebtn%2Dprimary%3Aactive%2C%2Eopen%3E%2Edropdown%2Dtoggle%2Ebtn%2Dprimary%7Bcolor%3A%23fff%3Bbackground%2Dcolor%3A%23286090%3Bborder%2Dcolor%3A%23204d74%7D%2Ebtn%2Dprimary%2Eactive%2Efocus%2C%2Ebtn%2Dprimary%2Eactive%3Afocus%2C%2Ebtn%2Dprimary%2Eactive%3Ahover%2C%2Ebtn%2Dprimary%3Aactive%2Efocus%2C%2Ebtn%2Dprimary%3Aactive%3Afocus%2C%2Ebtn%2Dprimary%3Aactive%3Ahover%2C%2Eopen%3E%2Edropdown%2Dtoggle%2Ebtn%2Dprimary%2Efocus%2C%2Eopen%3E%2Edropdown%2Dtoggle%2Ebtn%2Dprimary%3Afocus%2C%2Eopen%3E%2Edropdown%2Dtoggle%2Ebtn%2Dprimary%3Ahover%7Bcolor%3A%23fff%3Bbackground%2Dcolor%3A%23204d74%3Bborder%2Dcolor%3A%23122b40%7D%2Ebtn%2Dprimary%2Eactive%2C%2Ebtn%2Dprimary%3Aactive%2C%2Eopen%3E%2Edropdown%2Dtoggle%2Ebtn%2Dprimary%7Bbackground%2Dimage%3Anone%7D%2Ebtn%2Dprimary%2Edisabled%2C%2Ebtn%2Dprimary%2Edisabled%2Eactive%2C%2Ebtn%2Dprimary%2Edisabled%2Efocus%2C%2Ebtn%2Dprimary%2Edisabled%3Aactive%2C%2Ebtn%2Dprimary%2Edisabled%3Afocus%2C%2Ebtn%2Dprimary%2Edisabled%3Ahover%2C%2Ebtn%2Dprimary%5Bdisabled%5D%2C%2Ebtn%2Dprimary%5Bdisabled%5D%2Eactive%2C%2Ebtn%2Dprimary%5Bdisabled%5D%2Efocus%2C%2Ebtn%2Dprimary%5Bdisabled%5D%3Aactive%2C%2Ebtn%2Dprimary%5Bdisabled%5D%3Afocus%2C%2Ebtn%2Dprimary%5Bdisabled%5D%3Ahover%2Cfieldset%5Bdisabled%5D%20%2Ebtn%2Dprimary%2Cfieldset%5Bdisabled%5D%20%2Ebtn%2Dprimary%2Eactive%2Cfieldset%5Bdisabled%5D%20%2Ebtn%2Dprimary%2Efocus%2Cfieldset%5Bdisabled%5D%20%2Ebtn%2Dprimary%3Aactive%2Cfieldset%5Bdisabled%5D%20%2Ebtn%2Dprimary%3Afocus%2Cfieldset%5Bdisabled%5D%20%2Ebtn%2Dprimary%3Ahover%7Bbackground%2Dcolor%3A%23337ab7%3Bborder%2Dcolor%3A%232e6da4%7D%2Ebtn%2Dprimary%20%2Ebadge%7Bcolor%3A%23337ab7%3Bbackground%2Dcolor%3A%23fff%7D%2Ebtn%2Dsuccess%7Bcolor%3A%23fff%3Bbackground%2Dcolor%3A%235cb85c%3Bborder%2Dcolor%3A%234cae4c%7D%2Ebtn%2Dsuccess%2Efocus%2C%2Ebtn%2Dsuccess%3Afocus%7Bcolor%3A%23fff%3Bbackground%2Dcolor%3A%23449d44%3Bborder%2Dcolor%3A%23255625%7D%2Ebtn%2Dsuccess%3Ahover%7Bcolor%3A%23fff%3Bbackground%2Dcolor%3A%23449d44%3Bborder%2Dcolor%3A%23398439%7D%2Ebtn%2Dsuccess%2Eactive%2C%2Ebtn%2Dsuccess%3Aactive%2C%2Eopen%3E%2Edropdown%2Dtoggle%2Ebtn%2Dsuccess%7Bcolor%3A%23fff%3Bbackground%2Dcolor%3A%23449d44%3Bborder%2Dcolor%3A%23398439%7D%2Ebtn%2Dsuccess%2Eactive%2Efocus%2C%2Ebtn%2Dsuccess%2Eactive%3Afocus%2C%2Ebtn%2Dsuccess%2Eactive%3Ahover%2C%2Ebtn%2Dsuccess%3Aactive%2Efocus%2C%2Ebtn%2Dsuccess%3Aactive%3Afocus%2C%2Ebtn%2Dsuccess%3Aactive%3Ahover%2C%2Eopen%3E%2Edropdown%2Dtoggle%2Ebtn%2Dsuccess%2Efocus%2C%2Eopen%3E%2Edropdown%2Dtoggle%2Ebtn%2Dsuccess%3Afocus%2C%2Eopen%3E%2Edropdown%2Dtoggle%2Ebtn%2Dsuccess%3Ahover%7Bcolor%3A%23fff%3Bbackground%2Dcolor%3A%23398439%3Bborder%2Dcolor%3A%23255625%7D%2Ebtn%2Dsuccess%2Eactive%2C%2Ebtn%2Dsuccess%3Aactive%2C%2Eopen%3E%2Edropdown%2Dtoggle%2Ebtn%2Dsuccess%7Bbackground%2Dimage%3Anone%7D%2Ebtn%2Dsuccess%2Edisabled%2C%2Ebtn%2Dsuccess%2Edisabled%2Eactive%2C%2Ebtn%2Dsuccess%2Edisabled%2Efocus%2C%2Ebtn%2Dsuccess%2Edisabled%3Aactive%2C%2Ebtn%2Dsuccess%2Edisabled%3Afocus%2C%2Ebtn%2Dsuccess%2Edisabled%3Ahover%2C%2Ebtn%2Dsuccess%5Bdisabled%5D%2C%2Ebtn%2Dsuccess%5Bdisabled%5D%2Eactive%2C%2Ebtn%2Dsuccess%5Bdisabled%5D%2Efocus%2C%2Ebtn%2Dsuccess%5Bdisabled%5D%3Aactive%2C%2Ebtn%2Dsuccess%5Bdisabled%5D%3Afocus%2C%2Ebtn%2Dsuccess%5Bdisabled%5D%3Ahover%2Cfieldset%5Bdisabled%5D%20%2Ebtn%2Dsuccess%2Cfieldset%5Bdisabled%5D%20%2Ebtn%2Dsuccess%2Eactive%2Cfieldset%5Bdisabled%5D%20%2Ebtn%2Dsuccess%2Efocus%2Cfieldset%5Bdisabled%5D%20%2Ebtn%2Dsuccess%3Aactive%2Cfieldset%5Bdisabled%5D%20%2Ebtn%2Dsuccess%3Afocus%2Cfieldset%5Bdisabled%5D%20%2Ebtn%2Dsuccess%3Ahover%7Bbackground%2Dcolor%3A%235cb85c%3Bborder%2Dcolor%3A%234cae4c%7D%2Ebtn%2Dsuccess%20%2Ebadge%7Bcolor%3A%235cb85c%3Bbackground%2Dcolor%3A%23fff%7D%2Ebtn%2Dinfo%7Bcolor%3A%23fff%3Bbackground%2Dcolor%3A%235bc0de%3Bborder%2Dcolor%3A%2346b8da%7D%2Ebtn%2Dinfo%2Efocus%2C%2Ebtn%2Dinfo%3Afocus%7Bcolor%3A%23fff%3Bbackground%2Dcolor%3A%2331b0d5%3Bborder%2Dcolor%3A%231b6d85%7D%2Ebtn%2Dinfo%3Ahover%7Bcolor%3A%23fff%3Bbackground%2Dcolor%3A%2331b0d5%3Bborder%2Dcolor%3A%23269abc%7D%2Ebtn%2Dinfo%2Eactive%2C%2Ebtn%2Dinfo%3Aactive%2C%2Eopen%3E%2Edropdown%2Dtoggle%2Ebtn%2Dinfo%7Bcolor%3A%23fff%3Bbackground%2Dcolor%3A%2331b0d5%3Bborder%2Dcolor%3A%23269abc%7D%2Ebtn%2Dinfo%2Eactive%2Efocus%2C%2Ebtn%2Dinfo%2Eactive%3Afocus%2C%2Ebtn%2Dinfo%2Eactive%3Ahover%2C%2Ebtn%2Dinfo%3Aactive%2Efocus%2C%2Ebtn%2Dinfo%3Aactive%3Afocus%2C%2Ebtn%2Dinfo%3Aactive%3Ahover%2C%2Eopen%3E%2Edropdown%2Dtoggle%2Ebtn%2Dinfo%2Efocus%2C%2Eopen%3E%2Edropdown%2Dtoggle%2Ebtn%2Dinfo%3Afocus%2C%2Eopen%3E%2Edropdown%2Dtoggle%2Ebtn%2Dinfo%3Ahover%7Bcolor%3A%23fff%3Bbackground%2Dcolor%3A%23269abc%3Bborder%2Dcolor%3A%231b6d85%7D%2Ebtn%2Dinfo%2Eactive%2C%2Ebtn%2Dinfo%3Aactive%2C%2Eopen%3E%2Edropdown%2Dtoggle%2Ebtn%2Dinfo%7Bbackground%2Dimage%3Anone%7D%2Ebtn%2Dinfo%2Edisabled%2C%2Ebtn%2Dinfo%2Edisabled%2Eactive%2C%2Ebtn%2Dinfo%2Edisabled%2Efocus%2C%2Ebtn%2Dinfo%2Edisabled%3Aactive%2C%2Ebtn%2Dinfo%2Edisabled%3Afocus%2C%2Ebtn%2Dinfo%2Edisabled%3Ahover%2C%2Ebtn%2Dinfo%5Bdisabled%5D%2C%2Ebtn%2Dinfo%5Bdisabled%5D%2Eactive%2C%2Ebtn%2Dinfo%5Bdisabled%5D%2Efocus%2C%2Ebtn%2Dinfo%5Bdisabled%5D%3Aactive%2C%2Ebtn%2Dinfo%5Bdisabled%5D%3Afocus%2C%2Ebtn%2Dinfo%5Bdisabled%5D%3Ahover%2Cfieldset%5Bdisabled%5D%20%2Ebtn%2Dinfo%2Cfieldset%5Bdisabled%5D%20%2Ebtn%2Dinfo%2Eactive%2Cfieldset%5Bdisabled%5D%20%2Ebtn%2Dinfo%2Efocus%2Cfieldset%5Bdisabled%5D%20%2Ebtn%2Dinfo%3Aactive%2Cfieldset%5Bdisabled%5D%20%2Ebtn%2Dinfo%3Afocus%2Cfieldset%5Bdisabled%5D%20%2Ebtn%2Dinfo%3Ahover%7Bbackground%2Dcolor%3A%235bc0de%3Bborder%2Dcolor%3A%2346b8da%7D%2Ebtn%2Dinfo%20%2Ebadge%7Bcolor%3A%235bc0de%3Bbackground%2Dcolor%3A%23fff%7D%2Ebtn%2Dwarning%7Bcolor%3A%23fff%3Bbackground%2Dcolor%3A%23f0ad4e%3Bborder%2Dcolor%3A%23eea236%7D%2Ebtn%2Dwarning%2Efocus%2C%2Ebtn%2Dwarning%3Afocus%7Bcolor%3A%23fff%3Bbackground%2Dcolor%3A%23ec971f%3Bborder%2Dcolor%3A%23985f0d%7D%2Ebtn%2Dwarning%3Ahover%7Bcolor%3A%23fff%3Bbackground%2Dcolor%3A%23ec971f%3Bborder%2Dcolor%3A%23d58512%7D%2Ebtn%2Dwarning%2Eactive%2C%2Ebtn%2Dwarning%3Aactive%2C%2Eopen%3E%2Edropdown%2Dtoggle%2Ebtn%2Dwarning%7Bcolor%3A%23fff%3Bbackground%2Dcolor%3A%23ec971f%3Bborder%2Dcolor%3A%23d58512%7D%2Ebtn%2Dwarning%2Eactive%2Efocus%2C%2Ebtn%2Dwarning%2Eactive%3Afocus%2C%2Ebtn%2Dwarning%2Eactive%3Ahover%2C%2Ebtn%2Dwarning%3Aactive%2Efocus%2C%2Ebtn%2Dwarning%3Aactive%3Afocus%2C%2Ebtn%2Dwarning%3Aactive%3Ahover%2C%2Eopen%3E%2Edropdown%2Dtoggle%2Ebtn%2Dwarning%2Efocus%2C%2Eopen%3E%2Edropdown%2Dtoggle%2Ebtn%2Dwarning%3Afocus%2C%2Eopen%3E%2Edropdown%2Dtoggle%2Ebtn%2Dwarning%3Ahover%7Bcolor%3A%23fff%3Bbackground%2Dcolor%3A%23d58512%3Bborder%2Dcolor%3A%23985f0d%7D%2Ebtn%2Dwarning%2Eactive%2C%2Ebtn%2Dwarning%3Aactive%2C%2Eopen%3E%2Edropdown%2Dtoggle%2Ebtn%2Dwarning%7Bbackground%2Dimage%3Anone%7D%2Ebtn%2Dwarning%2Edisabled%2C%2Ebtn%2Dwarning%2Edisabled%2Eactive%2C%2Ebtn%2Dwarning%2Edisabled%2Efocus%2C%2Ebtn%2Dwarning%2Edisabled%3Aactive%2C%2Ebtn%2Dwarning%2Edisabled%3Afocus%2C%2Ebtn%2Dwarning%2Edisabled%3Ahover%2C%2Ebtn%2Dwarning%5Bdisabled%5D%2C%2Ebtn%2Dwarning%5Bdisabled%5D%2Eactive%2C%2Ebtn%2Dwarning%5Bdisabled%5D%2Efocus%2C%2Ebtn%2Dwarning%5Bdisabled%5D%3Aactive%2C%2Ebtn%2Dwarning%5Bdisabled%5D%3Afocus%2C%2Ebtn%2Dwarning%5Bdisabled%5D%3Ahover%2Cfieldset%5Bdisabled%5D%20%2Ebtn%2Dwarning%2Cfieldset%5Bdisabled%5D%20%2Ebtn%2Dwarning%2Eactive%2Cfieldset%5Bdisabled%5D%20%2Ebtn%2Dwarning%2Efocus%2Cfieldset%5Bdisabled%5D%20%2Ebtn%2Dwarning%3Aactive%2Cfieldset%5Bdisabled%5D%20%2Ebtn%2Dwarning%3Afocus%2Cfieldset%5Bdisabled%5D%20%2Ebtn%2Dwarning%3Ahover%7Bbackground%2Dcolor%3A%23f0ad4e%3Bborder%2Dcolor%3A%23eea236%7D%2Ebtn%2Dwarning%20%2Ebadge%7Bcolor%3A%23f0ad4e%3Bbackground%2Dcolor%3A%23fff%7D%2Ebtn%2Ddanger%7Bcolor%3A%23fff%3Bbackground%2Dcolor%3A%23d9534f%3Bborder%2Dcolor%3A%23d43f3a%7D%2Ebtn%2Ddanger%2Efocus%2C%2Ebtn%2Ddanger%3Afocus%7Bcolor%3A%23fff%3Bbackground%2Dcolor%3A%23c9302c%3Bborder%2Dcolor%3A%23761c19%7D%2Ebtn%2Ddanger%3Ahover%7Bcolor%3A%23fff%3Bbackground%2Dcolor%3A%23c9302c%3Bborder%2Dcolor%3A%23ac2925%7D%2Ebtn%2Ddanger%2Eactive%2C%2Ebtn%2Ddanger%3Aactive%2C%2Eopen%3E%2Edropdown%2Dtoggle%2Ebtn%2Ddanger%7Bcolor%3A%23fff%3Bbackground%2Dcolor%3A%23c9302c%3Bborder%2Dcolor%3A%23ac2925%7D%2Ebtn%2Ddanger%2Eactive%2Efocus%2C%2Ebtn%2Ddanger%2Eactive%3Afocus%2C%2Ebtn%2Ddanger%2Eactive%3Ahover%2C%2Ebtn%2Ddanger%3Aactive%2Efocus%2C%2Ebtn%2Ddanger%3Aactive%3Afocus%2C%2Ebtn%2Ddanger%3Aactive%3Ahover%2C%2Eopen%3E%2Edropdown%2Dtoggle%2Ebtn%2Ddanger%2Efocus%2C%2Eopen%3E%2Edropdown%2Dtoggle%2Ebtn%2Ddanger%3Afocus%2C%2Eopen%3E%2Edropdown%2Dtoggle%2Ebtn%2Ddanger%3Ahover%7Bcolor%3A%23fff%3Bbackground%2Dcolor%3A%23ac2925%3Bborder%2Dcolor%3A%23761c19%7D%2Ebtn%2Ddanger%2Eactive%2C%2Ebtn%2Ddanger%3Aactive%2C%2Eopen%3E%2Edropdown%2Dtoggle%2Ebtn%2Ddanger%7Bbackground%2Dimage%3Anone%7D%2Ebtn%2Ddanger%2Edisabled%2C%2Ebtn%2Ddanger%2Edisabled%2Eactive%2C%2Ebtn%2Ddanger%2Edisabled%2Efocus%2C%2Ebtn%2Ddanger%2Edisabled%3Aactive%2C%2Ebtn%2Ddanger%2Edisabled%3Afocus%2C%2Ebtn%2Ddanger%2Edisabled%3Ahover%2C%2Ebtn%2Ddanger%5Bdisabled%5D%2C%2Ebtn%2Ddanger%5Bdisabled%5D%2Eactive%2C%2Ebtn%2Ddanger%5Bdisabled%5D%2Efocus%2C%2Ebtn%2Ddanger%5Bdisabled%5D%3Aactive%2C%2Ebtn%2Ddanger%5Bdisabled%5D%3Afocus%2C%2Ebtn%2Ddanger%5Bdisabled%5D%3Ahover%2Cfieldset%5Bdisabled%5D%20%2Ebtn%2Ddanger%2Cfieldset%5Bdisabled%5D%20%2Ebtn%2Ddanger%2Eactive%2Cfieldset%5Bdisabled%5D%20%2Ebtn%2Ddanger%2Efocus%2Cfieldset%5Bdisabled%5D%20%2Ebtn%2Ddanger%3Aactive%2Cfieldset%5Bdisabled%5D%20%2Ebtn%2Ddanger%3Afocus%2Cfieldset%5Bdisabled%5D%20%2Ebtn%2Ddanger%3Ahover%7Bbackground%2Dcolor%3A%23d9534f%3Bborder%2Dcolor%3A%23d43f3a%7D%2Ebtn%2Ddanger%20%2Ebadge%7Bcolor%3A%23d9534f%3Bbackground%2Dcolor%3A%23fff%7D%2Ebtn%2Dlink%7Bfont%2Dweight%3A400%3Bcolor%3A%23337ab7%3Bborder%2Dradius%3A0%7D%2Ebtn%2Dlink%2C%2Ebtn%2Dlink%2Eactive%2C%2Ebtn%2Dlink%3Aactive%2C%2Ebtn%2Dlink%5Bdisabled%5D%2Cfieldset%5Bdisabled%5D%20%2Ebtn%2Dlink%7Bbackground%2Dcolor%3Atransparent%3B%2Dwebkit%2Dbox%2Dshadow%3Anone%3Bbox%2Dshadow%3Anone%7D%2Ebtn%2Dlink%2C%2Ebtn%2Dlink%3Aactive%2C%2Ebtn%2Dlink%3Afocus%2C%2Ebtn%2Dlink%3Ahover%7Bborder%2Dcolor%3Atransparent%7D%2Ebtn%2Dlink%3Afocus%2C%2Ebtn%2Dlink%3Ahover%7Bcolor%3A%2323527c%3Btext%2Ddecoration%3Aunderline%3Bbackground%2Dcolor%3Atransparent%7D%2Ebtn%2Dlink%5Bdisabled%5D%3Afocus%2C%2Ebtn%2Dlink%5Bdisabled%5D%3Ahover%2Cfieldset%5Bdisabled%5D%20%2Ebtn%2Dlink%3Afocus%2Cfieldset%5Bdisabled%5D%20%2Ebtn%2Dlink%3Ahover%7Bcolor%3A%23777%3Btext%2Ddecoration%3Anone%7D%2Ebtn%2Dgroup%2Dlg%3E%2Ebtn%2C%2Ebtn%2Dlg%7Bpadding%3A10px%2016px%3Bfont%2Dsize%3A18px%3Bline%2Dheight%3A1%2E3333333%3Bborder%2Dradius%3A6px%7D%2Ebtn%2Dgroup%2Dsm%3E%2Ebtn%2C%2Ebtn%2Dsm%7Bpadding%3A5px%2010px%3Bfont%2Dsize%3A12px%3Bline%2Dheight%3A1%2E5%3Bborder%2Dradius%3A3px%7D%2Ebtn%2Dgroup%2Dxs%3E%2Ebtn%2C%2Ebtn%2Dxs%7Bpadding%3A1px%205px%3Bfont%2Dsize%3A12px%3Bline%2Dheight%3A1%2E5%3Bborder%2Dradius%3A3px%7D%2Ebtn%2Dblock%7Bdisplay%3Ablock%3Bwidth%3A100%25%7D%2Ebtn%2Dblock%2B%2Ebtn%2Dblock%7Bmargin%2Dtop%3A5px%7Dinput%5Btype%3Dbutton%5D%2Ebtn%2Dblock%2Cinput%5Btype%3Dreset%5D%2Ebtn%2Dblock%2Cinput%5Btype%3Dsubmit%5D%2Ebtn%2Dblock%7Bwidth%3A100%25%7D%2Efade%7Bopacity%3A0%3B%2Dwebkit%2Dtransition%3Aopacity%20%2E15s%20linear%3B%2Do%2Dtransition%3Aopacity%20%2E15s%20linear%3Btransition%3Aopacity%20%2E15s%20linear%7D%2Efade%2Ein%7Bopacity%3A1%7D%2Ecollapse%7Bdisplay%3Anone%7D%2Ecollapse%2Ein%7Bdisplay%3Ablock%7Dtr%2Ecollapse%2Ein%7Bdisplay%3Atable%2Drow%7Dtbody%2Ecollapse%2Ein%7Bdisplay%3Atable%2Drow%2Dgroup%7D%2Ecollapsing%7Bposition%3Arelative%3Bheight%3A0%3Boverflow%3Ahidden%3B%2Dwebkit%2Dtransition%2Dtiming%2Dfunction%3Aease%3B%2Do%2Dtransition%2Dtiming%2Dfunction%3Aease%3Btransition%2Dtiming%2Dfunction%3Aease%3B%2Dwebkit%2Dtransition%2Dduration%3A%2E35s%3B%2Do%2Dtransition%2Dduration%3A%2E35s%3Btransition%2Dduration%3A%2E35s%3B%2Dwebkit%2Dtransition%2Dproperty%3Aheight%2Cvisibility%3B%2Do%2Dtransition%2Dproperty%3Aheight%2Cvisibility%3Btransition%2Dproperty%3Aheight%2Cvisibility%7D%2Ecaret%7Bdisplay%3Ainline%2Dblock%3Bwidth%3A0%3Bheight%3A0%3Bmargin%2Dleft%3A2px%3Bvertical%2Dalign%3Amiddle%3Bborder%2Dtop%3A4px%20dashed%3Bborder%2Dtop%3A4px%20solid%5C9%3Bborder%2Dright%3A4px%20solid%20transparent%3Bborder%2Dleft%3A4px%20solid%20transparent%7D%2Edropdown%2C%2Edropup%7Bposition%3Arelative%7D%2Edropdown%2Dtoggle%3Afocus%7Boutline%3A0%7D%2Edropdown%2Dmenu%7Bposition%3Aabsolute%3Btop%3A100%25%3Bleft%3A0%3Bz%2Dindex%3A1000%3Bdisplay%3Anone%3Bfloat%3Aleft%3Bmin%2Dwidth%3A160px%3Bpadding%3A5px%200%3Bmargin%3A2px%200%200%3Bfont%2Dsize%3A14px%3Btext%2Dalign%3Aleft%3Blist%2Dstyle%3Anone%3Bbackground%2Dcolor%3A%23fff%3B%2Dwebkit%2Dbackground%2Dclip%3Apadding%2Dbox%3Bbackground%2Dclip%3Apadding%2Dbox%3Bborder%3A1px%20solid%20%23ccc%3Bborder%3A1px%20solid%20rgba%280%2C0%2C0%2C%2E15%29%3Bborder%2Dradius%3A4px%3B%2Dwebkit%2Dbox%2Dshadow%3A0%206px%2012px%20rgba%280%2C0%2C0%2C%2E175%29%3Bbox%2Dshadow%3A0%206px%2012px%20rgba%280%2C0%2C0%2C%2E175%29%7D%2Edropdown%2Dmenu%2Epull%2Dright%7Bright%3A0%3Bleft%3Aauto%7D%2Edropdown%2Dmenu%20%2Edivider%7Bheight%3A1px%3Bmargin%3A9px%200%3Boverflow%3Ahidden%3Bbackground%2Dcolor%3A%23e5e5e5%7D%2Edropdown%2Dmenu%3Eli%3Ea%7Bdisplay%3Ablock%3Bpadding%3A3px%2020px%3Bclear%3Aboth%3Bfont%2Dweight%3A400%3Bline%2Dheight%3A1%2E42857143%3Bcolor%3A%23333%3Bwhite%2Dspace%3Anowrap%7D%2Edropdown%2Dmenu%3Eli%3Ea%3Afocus%2C%2Edropdown%2Dmenu%3Eli%3Ea%3Ahover%7Bcolor%3A%23262626%3Btext%2Ddecoration%3Anone%3Bbackground%2Dcolor%3A%23f5f5f5%7D%2Edropdown%2Dmenu%3E%2Eactive%3Ea%2C%2Edropdown%2Dmenu%3E%2Eactive%3Ea%3Afocus%2C%2Edropdown%2Dmenu%3E%2Eactive%3Ea%3Ahover%7Bcolor%3A%23fff%3Btext%2Ddecoration%3Anone%3Bbackground%2Dcolor%3A%23337ab7%3Boutline%3A0%7D%2Edropdown%2Dmenu%3E%2Edisabled%3Ea%2C%2Edropdown%2Dmenu%3E%2Edisabled%3Ea%3Afocus%2C%2Edropdown%2Dmenu%3E%2Edisabled%3Ea%3Ahover%7Bcolor%3A%23777%7D%2Edropdown%2Dmenu%3E%2Edisabled%3Ea%3Afocus%2C%2Edropdown%2Dmenu%3E%2Edisabled%3Ea%3Ahover%7Btext%2Ddecoration%3Anone%3Bcursor%3Anot%2Dallowed%3Bbackground%2Dcolor%3Atransparent%3Bbackground%2Dimage%3Anone%3Bfilter%3Aprogid%3ADXImageTransform%2EMicrosoft%2Egradient%28enabled%3Dfalse%29%7D%2Eopen%3E%2Edropdown%2Dmenu%7Bdisplay%3Ablock%7D%2Eopen%3Ea%7Boutline%3A0%7D%2Edropdown%2Dmenu%2Dright%7Bright%3A0%3Bleft%3Aauto%7D%2Edropdown%2Dmenu%2Dleft%7Bright%3Aauto%3Bleft%3A0%7D%2Edropdown%2Dheader%7Bdisplay%3Ablock%3Bpadding%3A3px%2020px%3Bfont%2Dsize%3A12px%3Bline%2Dheight%3A1%2E42857143%3Bcolor%3A%23777%3Bwhite%2Dspace%3Anowrap%7D%2Edropdown%2Dbackdrop%7Bposition%3Afixed%3Btop%3A0%3Bright%3A0%3Bbottom%3A0%3Bleft%3A0%3Bz%2Dindex%3A990%7D%2Epull%2Dright%3E%2Edropdown%2Dmenu%7Bright%3A0%3Bleft%3Aauto%7D%2Edropup%20%2Ecaret%2C%2Enavbar%2Dfixed%2Dbottom%20%2Edropdown%20%2Ecaret%7Bcontent%3A%22%22%3Bborder%2Dtop%3A0%3Bborder%2Dbottom%3A4px%20dashed%3Bborder%2Dbottom%3A4px%20solid%5C9%7D%2Edropup%20%2Edropdown%2Dmenu%2C%2Enavbar%2Dfixed%2Dbottom%20%2Edropdown%20%2Edropdown%2Dmenu%7Btop%3Aauto%3Bbottom%3A100%25%3Bmargin%2Dbottom%3A2px%7D%40media%20%28min%2Dwidth%3A768px%29%7B%2Enavbar%2Dright%20%2Edropdown%2Dmenu%7Bright%3A0%3Bleft%3Aauto%7D%2Enavbar%2Dright%20%2Edropdown%2Dmenu%2Dleft%7Bright%3Aauto%3Bleft%3A0%7D%7D%2Ebtn%2Dgroup%2C%2Ebtn%2Dgroup%2Dvertical%7Bposition%3Arelative%3Bdisplay%3Ainline%2Dblock%3Bvertical%2Dalign%3Amiddle%7D%2Ebtn%2Dgroup%2Dvertical%3E%2Ebtn%2C%2Ebtn%2Dgroup%3E%2Ebtn%7Bposition%3Arelative%3Bfloat%3Aleft%7D%2Ebtn%2Dgroup%2Dvertical%3E%2Ebtn%2Eactive%2C%2Ebtn%2Dgroup%2Dvertical%3E%2Ebtn%3Aactive%2C%2Ebtn%2Dgroup%2Dvertical%3E%2Ebtn%3Afocus%2C%2Ebtn%2Dgroup%2Dvertical%3E%2Ebtn%3Ahover%2C%2Ebtn%2Dgroup%3E%2Ebtn%2Eactive%2C%2Ebtn%2Dgroup%3E%2Ebtn%3Aactive%2C%2Ebtn%2Dgroup%3E%2Ebtn%3Afocus%2C%2Ebtn%2Dgroup%3E%2Ebtn%3Ahover%7Bz%2Dindex%3A2%7D%2Ebtn%2Dgroup%20%2Ebtn%2B%2Ebtn%2C%2Ebtn%2Dgroup%20%2Ebtn%2B%2Ebtn%2Dgroup%2C%2Ebtn%2Dgroup%20%2Ebtn%2Dgroup%2B%2Ebtn%2C%2Ebtn%2Dgroup%20%2Ebtn%2Dgroup%2B%2Ebtn%2Dgroup%7Bmargin%2Dleft%3A%2D1px%7D%2Ebtn%2Dtoolbar%7Bmargin%2Dleft%3A%2D5px%7D%2Ebtn%2Dtoolbar%20%2Ebtn%2C%2Ebtn%2Dtoolbar%20%2Ebtn%2Dgroup%2C%2Ebtn%2Dtoolbar%20%2Einput%2Dgroup%7Bfloat%3Aleft%7D%2Ebtn%2Dtoolbar%3E%2Ebtn%2C%2Ebtn%2Dtoolbar%3E%2Ebtn%2Dgroup%2C%2Ebtn%2Dtoolbar%3E%2Einput%2Dgroup%7Bmargin%2Dleft%3A5px%7D%2Ebtn%2Dgroup%3E%2Ebtn%3Anot%28%3Afirst%2Dchild%29%3Anot%28%3Alast%2Dchild%29%3Anot%28%2Edropdown%2Dtoggle%29%7Bborder%2Dradius%3A0%7D%2Ebtn%2Dgroup%3E%2Ebtn%3Afirst%2Dchild%7Bmargin%2Dleft%3A0%7D%2Ebtn%2Dgroup%3E%2Ebtn%3Afirst%2Dchild%3Anot%28%3Alast%2Dchild%29%3Anot%28%2Edropdown%2Dtoggle%29%7Bborder%2Dtop%2Dright%2Dradius%3A0%3Bborder%2Dbottom%2Dright%2Dradius%3A0%7D%2Ebtn%2Dgroup%3E%2Ebtn%3Alast%2Dchild%3Anot%28%3Afirst%2Dchild%29%2C%2Ebtn%2Dgroup%3E%2Edropdown%2Dtoggle%3Anot%28%3Afirst%2Dchild%29%7Bborder%2Dtop%2Dleft%2Dradius%3A0%3Bborder%2Dbottom%2Dleft%2Dradius%3A0%7D%2Ebtn%2Dgroup%3E%2Ebtn%2Dgroup%7Bfloat%3Aleft%7D%2Ebtn%2Dgroup%3E%2Ebtn%2Dgroup%3Anot%28%3Afirst%2Dchild%29%3Anot%28%3Alast%2Dchild%29%3E%2Ebtn%7Bborder%2Dradius%3A0%7D%2Ebtn%2Dgroup%3E%2Ebtn%2Dgroup%3Afirst%2Dchild%3Anot%28%3Alast%2Dchild%29%3E%2Ebtn%3Alast%2Dchild%2C%2Ebtn%2Dgroup%3E%2Ebtn%2Dgroup%3Afirst%2Dchild%3Anot%28%3Alast%2Dchild%29%3E%2Edropdown%2Dtoggle%7Bborder%2Dtop%2Dright%2Dradius%3A0%3Bborder%2Dbottom%2Dright%2Dradius%3A0%7D%2Ebtn%2Dgroup%3E%2Ebtn%2Dgroup%3Alast%2Dchild%3Anot%28%3Afirst%2Dchild%29%3E%2Ebtn%3Afirst%2Dchild%7Bborder%2Dtop%2Dleft%2Dradius%3A0%3Bborder%2Dbottom%2Dleft%2Dradius%3A0%7D%2Ebtn%2Dgroup%20%2Edropdown%2Dtoggle%3Aactive%2C%2Ebtn%2Dgroup%2Eopen%20%2Edropdown%2Dtoggle%7Boutline%3A0%7D%2Ebtn%2Dgroup%3E%2Ebtn%2B%2Edropdown%2Dtoggle%7Bpadding%2Dright%3A8px%3Bpadding%2Dleft%3A8px%7D%2Ebtn%2Dgroup%3E%2Ebtn%2Dlg%2B%2Edropdown%2Dtoggle%7Bpadding%2Dright%3A12px%3Bpadding%2Dleft%3A12px%7D%2Ebtn%2Dgroup%2Eopen%20%2Edropdown%2Dtoggle%7B%2Dwebkit%2Dbox%2Dshadow%3Ainset%200%203px%205px%20rgba%280%2C0%2C0%2C%2E125%29%3Bbox%2Dshadow%3Ainset%200%203px%205px%20rgba%280%2C0%2C0%2C%2E125%29%7D%2Ebtn%2Dgroup%2Eopen%20%2Edropdown%2Dtoggle%2Ebtn%2Dlink%7B%2Dwebkit%2Dbox%2Dshadow%3Anone%3Bbox%2Dshadow%3Anone%7D%2Ebtn%20%2Ecaret%7Bmargin%2Dleft%3A0%7D%2Ebtn%2Dlg%20%2Ecaret%7Bborder%2Dwidth%3A5px%205px%200%3Bborder%2Dbottom%2Dwidth%3A0%7D%2Edropup%20%2Ebtn%2Dlg%20%2Ecaret%7Bborder%2Dwidth%3A0%205px%205px%7D%2Ebtn%2Dgroup%2Dvertical%3E%2Ebtn%2C%2Ebtn%2Dgroup%2Dvertical%3E%2Ebtn%2Dgroup%2C%2Ebtn%2Dgroup%2Dvertical%3E%2Ebtn%2Dgroup%3E%2Ebtn%7Bdisplay%3Ablock%3Bfloat%3Anone%3Bwidth%3A100%25%3Bmax%2Dwidth%3A100%25%7D%2Ebtn%2Dgroup%2Dvertical%3E%2Ebtn%2Dgroup%3E%2Ebtn%7Bfloat%3Anone%7D%2Ebtn%2Dgroup%2Dvertical%3E%2Ebtn%2B%2Ebtn%2C%2Ebtn%2Dgroup%2Dvertical%3E%2Ebtn%2B%2Ebtn%2Dgroup%2C%2Ebtn%2Dgroup%2Dvertical%3E%2Ebtn%2Dgroup%2B%2Ebtn%2C%2Ebtn%2Dgroup%2Dvertical%3E%2Ebtn%2Dgroup%2B%2Ebtn%2Dgroup%7Bmargin%2Dtop%3A%2D1px%3Bmargin%2Dleft%3A0%7D%2Ebtn%2Dgroup%2Dvertical%3E%2Ebtn%3Anot%28%3Afirst%2Dchild%29%3Anot%28%3Alast%2Dchild%29%7Bborder%2Dradius%3A0%7D%2Ebtn%2Dgroup%2Dvertical%3E%2Ebtn%3Afirst%2Dchild%3Anot%28%3Alast%2Dchild%29%7Bborder%2Dtop%2Dright%2Dradius%3A4px%3Bborder%2Dbottom%2Dright%2Dradius%3A0%3Bborder%2Dbottom%2Dleft%2Dradius%3A0%7D%2Ebtn%2Dgroup%2Dvertical%3E%2Ebtn%3Alast%2Dchild%3Anot%28%3Afirst%2Dchild%29%7Bborder%2Dtop%2Dleft%2Dradius%3A0%3Bborder%2Dtop%2Dright%2Dradius%3A0%3Bborder%2Dbottom%2Dleft%2Dradius%3A4px%7D%2Ebtn%2Dgroup%2Dvertical%3E%2Ebtn%2Dgroup%3Anot%28%3Afirst%2Dchild%29%3Anot%28%3Alast%2Dchild%29%3E%2Ebtn%7Bborder%2Dradius%3A0%7D%2Ebtn%2Dgroup%2Dvertical%3E%2Ebtn%2Dgroup%3Afirst%2Dchild%3Anot%28%3Alast%2Dchild%29%3E%2Ebtn%3Alast%2Dchild%2C%2Ebtn%2Dgroup%2Dvertical%3E%2Ebtn%2Dgroup%3Afirst%2Dchild%3Anot%28%3Alast%2Dchild%29%3E%2Edropdown%2Dtoggle%7Bborder%2Dbottom%2Dright%2Dradius%3A0%3Bborder%2Dbottom%2Dleft%2Dradius%3A0%7D%2Ebtn%2Dgroup%2Dvertical%3E%2Ebtn%2Dgroup%3Alast%2Dchild%3Anot%28%3Afirst%2Dchild%29%3E%2Ebtn%3Afirst%2Dchild%7Bborder%2Dtop%2Dleft%2Dradius%3A0%3Bborder%2Dtop%2Dright%2Dradius%3A0%7D%2Ebtn%2Dgroup%2Djustified%7Bdisplay%3Atable%3Bwidth%3A100%25%3Btable%2Dlayout%3Afixed%3Bborder%2Dcollapse%3Aseparate%7D%2Ebtn%2Dgroup%2Djustified%3E%2Ebtn%2C%2Ebtn%2Dgroup%2Djustified%3E%2Ebtn%2Dgroup%7Bdisplay%3Atable%2Dcell%3Bfloat%3Anone%3Bwidth%3A1%25%7D%2Ebtn%2Dgroup%2Djustified%3E%2Ebtn%2Dgroup%20%2Ebtn%7Bwidth%3A100%25%7D%2Ebtn%2Dgroup%2Djustified%3E%2Ebtn%2Dgroup%20%2Edropdown%2Dmenu%7Bleft%3Aauto%7D%5Bdata%2Dtoggle%3Dbuttons%5D%3E%2Ebtn%20input%5Btype%3Dcheckbox%5D%2C%5Bdata%2Dtoggle%3Dbuttons%5D%3E%2Ebtn%20input%5Btype%3Dradio%5D%2C%5Bdata%2Dtoggle%3Dbuttons%5D%3E%2Ebtn%2Dgroup%3E%2Ebtn%20input%5Btype%3Dcheckbox%5D%2C%5Bdata%2Dtoggle%3Dbuttons%5D%3E%2Ebtn%2Dgroup%3E%2Ebtn%20input%5Btype%3Dradio%5D%7Bposition%3Aabsolute%3Bclip%3Arect%280%2C0%2C0%2C0%29%3Bpointer%2Devents%3Anone%7D%2Einput%2Dgroup%7Bposition%3Arelative%3Bdisplay%3Atable%3Bborder%2Dcollapse%3Aseparate%7D%2Einput%2Dgroup%5Bclass%2A%3Dcol%2D%5D%7Bfloat%3Anone%3Bpadding%2Dright%3A0%3Bpadding%2Dleft%3A0%7D%2Einput%2Dgroup%20%2Eform%2Dcontrol%7Bposition%3Arelative%3Bz%2Dindex%3A2%3Bfloat%3Aleft%3Bwidth%3A100%25%3Bmargin%2Dbottom%3A0%7D%2Einput%2Dgroup%2Dlg%3E%2Eform%2Dcontrol%2C%2Einput%2Dgroup%2Dlg%3E%2Einput%2Dgroup%2Daddon%2C%2Einput%2Dgroup%2Dlg%3E%2Einput%2Dgroup%2Dbtn%3E%2Ebtn%7Bheight%3A46px%3Bpadding%3A10px%2016px%3Bfont%2Dsize%3A18px%3Bline%2Dheight%3A1%2E3333333%3Bborder%2Dradius%3A6px%7Dselect%2Einput%2Dgroup%2Dlg%3E%2Eform%2Dcontrol%2Cselect%2Einput%2Dgroup%2Dlg%3E%2Einput%2Dgroup%2Daddon%2Cselect%2Einput%2Dgroup%2Dlg%3E%2Einput%2Dgroup%2Dbtn%3E%2Ebtn%7Bheight%3A46px%3Bline%2Dheight%3A46px%7Dselect%5Bmultiple%5D%2Einput%2Dgroup%2Dlg%3E%2Eform%2Dcontrol%2Cselect%5Bmultiple%5D%2Einput%2Dgroup%2Dlg%3E%2Einput%2Dgroup%2Daddon%2Cselect%5Bmultiple%5D%2Einput%2Dgroup%2Dlg%3E%2Einput%2Dgroup%2Dbtn%3E%2Ebtn%2Ctextarea%2Einput%2Dgroup%2Dlg%3E%2Eform%2Dcontrol%2Ctextarea%2Einput%2Dgroup%2Dlg%3E%2Einput%2Dgroup%2Daddon%2Ctextarea%2Einput%2Dgroup%2Dlg%3E%2Einput%2Dgroup%2Dbtn%3E%2Ebtn%7Bheight%3Aauto%7D%2Einput%2Dgroup%2Dsm%3E%2Eform%2Dcontrol%2C%2Einput%2Dgroup%2Dsm%3E%2Einput%2Dgroup%2Daddon%2C%2Einput%2Dgroup%2Dsm%3E%2Einput%2Dgroup%2Dbtn%3E%2Ebtn%7Bheight%3A30px%3Bpadding%3A5px%2010px%3Bfont%2Dsize%3A12px%3Bline%2Dheight%3A1%2E5%3Bborder%2Dradius%3A3px%7Dselect%2Einput%2Dgroup%2Dsm%3E%2Eform%2Dcontrol%2Cselect%2Einput%2Dgroup%2Dsm%3E%2Einput%2Dgroup%2Daddon%2Cselect%2Einput%2Dgroup%2Dsm%3E%2Einput%2Dgroup%2Dbtn%3E%2Ebtn%7Bheight%3A30px%3Bline%2Dheight%3A30px%7Dselect%5Bmultiple%5D%2Einput%2Dgroup%2Dsm%3E%2Eform%2Dcontrol%2Cselect%5Bmultiple%5D%2Einput%2Dgroup%2Dsm%3E%2Einput%2Dgroup%2Daddon%2Cselect%5Bmultiple%5D%2Einput%2Dgroup%2Dsm%3E%2Einput%2Dgroup%2Dbtn%3E%2Ebtn%2Ctextarea%2Einput%2Dgroup%2Dsm%3E%2Eform%2Dcontrol%2Ctextarea%2Einput%2Dgroup%2Dsm%3E%2Einput%2Dgroup%2Daddon%2Ctextarea%2Einput%2Dgroup%2Dsm%3E%2Einput%2Dgroup%2Dbtn%3E%2Ebtn%7Bheight%3Aauto%7D%2Einput%2Dgroup%20%2Eform%2Dcontrol%2C%2Einput%2Dgroup%2Daddon%2C%2Einput%2Dgroup%2Dbtn%7Bdisplay%3Atable%2Dcell%7D%2Einput%2Dgroup%20%2Eform%2Dcontrol%3Anot%28%3Afirst%2Dchild%29%3Anot%28%3Alast%2Dchild%29%2C%2Einput%2Dgroup%2Daddon%3Anot%28%3Afirst%2Dchild%29%3Anot%28%3Alast%2Dchild%29%2C%2Einput%2Dgroup%2Dbtn%3Anot%28%3Afirst%2Dchild%29%3Anot%28%3Alast%2Dchild%29%7Bborder%2Dradius%3A0%7D%2Einput%2Dgroup%2Daddon%2C%2Einput%2Dgroup%2Dbtn%7Bwidth%3A1%25%3Bwhite%2Dspace%3Anowrap%3Bvertical%2Dalign%3Amiddle%7D%2Einput%2Dgroup%2Daddon%7Bpadding%3A6px%2012px%3Bfont%2Dsize%3A14px%3Bfont%2Dweight%3A400%3Bline%2Dheight%3A1%3Bcolor%3A%23555%3Btext%2Dalign%3Acenter%3Bbackground%2Dcolor%3A%23eee%3Bborder%3A1px%20solid%20%23ccc%3Bborder%2Dradius%3A4px%7D%2Einput%2Dgroup%2Daddon%2Einput%2Dsm%7Bpadding%3A5px%2010px%3Bfont%2Dsize%3A12px%3Bborder%2Dradius%3A3px%7D%2Einput%2Dgroup%2Daddon%2Einput%2Dlg%7Bpadding%3A10px%2016px%3Bfont%2Dsize%3A18px%3Bborder%2Dradius%3A6px%7D%2Einput%2Dgroup%2Daddon%20input%5Btype%3Dcheckbox%5D%2C%2Einput%2Dgroup%2Daddon%20input%5Btype%3Dradio%5D%7Bmargin%2Dtop%3A0%7D%2Einput%2Dgroup%20%2Eform%2Dcontrol%3Afirst%2Dchild%2C%2Einput%2Dgroup%2Daddon%3Afirst%2Dchild%2C%2Einput%2Dgroup%2Dbtn%3Afirst%2Dchild%3E%2Ebtn%2C%2Einput%2Dgroup%2Dbtn%3Afirst%2Dchild%3E%2Ebtn%2Dgroup%3E%2Ebtn%2C%2Einput%2Dgroup%2Dbtn%3Afirst%2Dchild%3E%2Edropdown%2Dtoggle%2C%2Einput%2Dgroup%2Dbtn%3Alast%2Dchild%3E%2Ebtn%2Dgroup%3Anot%28%3Alast%2Dchild%29%3E%2Ebtn%2C%2Einput%2Dgroup%2Dbtn%3Alast%2Dchild%3E%2Ebtn%3Anot%28%3Alast%2Dchild%29%3Anot%28%2Edropdown%2Dtoggle%29%7Bborder%2Dtop%2Dright%2Dradius%3A0%3Bborder%2Dbottom%2Dright%2Dradius%3A0%7D%2Einput%2Dgroup%2Daddon%3Afirst%2Dchild%7Bborder%2Dright%3A0%7D%2Einput%2Dgroup%20%2Eform%2Dcontrol%3Alast%2Dchild%2C%2Einput%2Dgroup%2Daddon%3Alast%2Dchild%2C%2Einput%2Dgroup%2Dbtn%3Afirst%2Dchild%3E%2Ebtn%2Dgroup%3Anot%28%3Afirst%2Dchild%29%3E%2Ebtn%2C%2Einput%2Dgroup%2Dbtn%3Afirst%2Dchild%3E%2Ebtn%3Anot%28%3Afirst%2Dchild%29%2C%2Einput%2Dgroup%2Dbtn%3Alast%2Dchild%3E%2Ebtn%2C%2Einput%2Dgroup%2Dbtn%3Alast%2Dchild%3E%2Ebtn%2Dgroup%3E%2Ebtn%2C%2Einput%2Dgroup%2Dbtn%3Alast%2Dchild%3E%2Edropdown%2Dtoggle%7Bborder%2Dtop%2Dleft%2Dradius%3A0%3Bborder%2Dbottom%2Dleft%2Dradius%3A0%7D%2Einput%2Dgroup%2Daddon%3Alast%2Dchild%7Bborder%2Dleft%3A0%7D%2Einput%2Dgroup%2Dbtn%7Bposition%3Arelative%3Bfont%2Dsize%3A0%3Bwhite%2Dspace%3Anowrap%7D%2Einput%2Dgroup%2Dbtn%3E%2Ebtn%7Bposition%3Arelative%7D%2Einput%2Dgroup%2Dbtn%3E%2Ebtn%2B%2Ebtn%7Bmargin%2Dleft%3A%2D1px%7D%2Einput%2Dgroup%2Dbtn%3E%2Ebtn%3Aactive%2C%2Einput%2Dgroup%2Dbtn%3E%2Ebtn%3Afocus%2C%2Einput%2Dgroup%2Dbtn%3E%2Ebtn%3Ahover%7Bz%2Dindex%3A2%7D%2Einput%2Dgroup%2Dbtn%3Afirst%2Dchild%3E%2Ebtn%2C%2Einput%2Dgroup%2Dbtn%3Afirst%2Dchild%3E%2Ebtn%2Dgroup%7Bmargin%2Dright%3A%2D1px%7D%2Einput%2Dgroup%2Dbtn%3Alast%2Dchild%3E%2Ebtn%2C%2Einput%2Dgroup%2Dbtn%3Alast%2Dchild%3E%2Ebtn%2Dgroup%7Bz%2Dindex%3A2%3Bmargin%2Dleft%3A%2D1px%7D%2Enav%7Bpadding%2Dleft%3A0%3Bmargin%2Dbottom%3A0%3Blist%2Dstyle%3Anone%7D%2Enav%3Eli%7Bposition%3Arelative%3Bdisplay%3Ablock%7D%2Enav%3Eli%3Ea%7Bposition%3Arelative%3Bdisplay%3Ablock%3Bpadding%3A10px%2015px%7D%2Enav%3Eli%3Ea%3Afocus%2C%2Enav%3Eli%3Ea%3Ahover%7Btext%2Ddecoration%3Anone%3Bbackground%2Dcolor%3A%23eee%7D%2Enav%3Eli%2Edisabled%3Ea%7Bcolor%3A%23777%7D%2Enav%3Eli%2Edisabled%3Ea%3Afocus%2C%2Enav%3Eli%2Edisabled%3Ea%3Ahover%7Bcolor%3A%23777%3Btext%2Ddecoration%3Anone%3Bcursor%3Anot%2Dallowed%3Bbackground%2Dcolor%3Atransparent%7D%2Enav%20%2Eopen%3Ea%2C%2Enav%20%2Eopen%3Ea%3Afocus%2C%2Enav%20%2Eopen%3Ea%3Ahover%7Bbackground%2Dcolor%3A%23eee%3Bborder%2Dcolor%3A%23337ab7%7D%2Enav%20%2Enav%2Ddivider%7Bheight%3A1px%3Bmargin%3A9px%200%3Boverflow%3Ahidden%3Bbackground%2Dcolor%3A%23e5e5e5%7D%2Enav%3Eli%3Ea%3Eimg%7Bmax%2Dwidth%3Anone%7D%2Enav%2Dtabs%7Bborder%2Dbottom%3A1px%20solid%20%23ddd%7D%2Enav%2Dtabs%3Eli%7Bfloat%3Aleft%3Bmargin%2Dbottom%3A%2D1px%7D%2Enav%2Dtabs%3Eli%3Ea%7Bmargin%2Dright%3A2px%3Bline%2Dheight%3A1%2E42857143%3Bborder%3A1px%20solid%20transparent%3Bborder%2Dradius%3A4px%204px%200%200%7D%2Enav%2Dtabs%3Eli%3Ea%3Ahover%7Bborder%2Dcolor%3A%23eee%20%23eee%20%23ddd%7D%2Enav%2Dtabs%3Eli%2Eactive%3Ea%2C%2Enav%2Dtabs%3Eli%2Eactive%3Ea%3Afocus%2C%2Enav%2Dtabs%3Eli%2Eactive%3Ea%3Ahover%7Bcolor%3A%23555%3Bcursor%3Adefault%3Bbackground%2Dcolor%3A%23fff%3Bborder%3A1px%20solid%20%23ddd%3Bborder%2Dbottom%2Dcolor%3Atransparent%7D%2Enav%2Dtabs%2Enav%2Djustified%7Bwidth%3A100%25%3Bborder%2Dbottom%3A0%7D%2Enav%2Dtabs%2Enav%2Djustified%3Eli%7Bfloat%3Anone%7D%2Enav%2Dtabs%2Enav%2Djustified%3Eli%3Ea%7Bmargin%2Dbottom%3A5px%3Btext%2Dalign%3Acenter%7D%2Enav%2Dtabs%2Enav%2Djustified%3E%2Edropdown%20%2Edropdown%2Dmenu%7Btop%3Aauto%3Bleft%3Aauto%7D%40media%20%28min%2Dwidth%3A768px%29%7B%2Enav%2Dtabs%2Enav%2Djustified%3Eli%7Bdisplay%3Atable%2Dcell%3Bwidth%3A1%25%7D%2Enav%2Dtabs%2Enav%2Djustified%3Eli%3Ea%7Bmargin%2Dbottom%3A0%7D%7D%2Enav%2Dtabs%2Enav%2Djustified%3Eli%3Ea%7Bmargin%2Dright%3A0%3Bborder%2Dradius%3A4px%7D%2Enav%2Dtabs%2Enav%2Djustified%3E%2Eactive%3Ea%2C%2Enav%2Dtabs%2Enav%2Djustified%3E%2Eactive%3Ea%3Afocus%2C%2Enav%2Dtabs%2Enav%2Djustified%3E%2Eactive%3Ea%3Ahover%7Bborder%3A1px%20solid%20%23ddd%7D%40media%20%28min%2Dwidth%3A768px%29%7B%2Enav%2Dtabs%2Enav%2Djustified%3Eli%3Ea%7Bborder%2Dbottom%3A1px%20solid%20%23ddd%3Bborder%2Dradius%3A4px%204px%200%200%7D%2Enav%2Dtabs%2Enav%2Djustified%3E%2Eactive%3Ea%2C%2Enav%2Dtabs%2Enav%2Djustified%3E%2Eactive%3Ea%3Afocus%2C%2Enav%2Dtabs%2Enav%2Djustified%3E%2Eactive%3Ea%3Ahover%7Bborder%2Dbottom%2Dcolor%3A%23fff%7D%7D%2Enav%2Dpills%3Eli%7Bfloat%3Aleft%7D%2Enav%2Dpills%3Eli%3Ea%7Bborder%2Dradius%3A4px%7D%2Enav%2Dpills%3Eli%2Bli%7Bmargin%2Dleft%3A2px%7D%2Enav%2Dpills%3Eli%2Eactive%3Ea%2C%2Enav%2Dpills%3Eli%2Eactive%3Ea%3Afocus%2C%2Enav%2Dpills%3Eli%2Eactive%3Ea%3Ahover%7Bcolor%3A%23fff%3Bbackground%2Dcolor%3A%23337ab7%7D%2Enav%2Dstacked%3Eli%7Bfloat%3Anone%7D%2Enav%2Dstacked%3Eli%2Bli%7Bmargin%2Dtop%3A2px%3Bmargin%2Dleft%3A0%7D%2Enav%2Djustified%7Bwidth%3A100%25%7D%2Enav%2Djustified%3Eli%7Bfloat%3Anone%7D%2Enav%2Djustified%3Eli%3Ea%7Bmargin%2Dbottom%3A5px%3Btext%2Dalign%3Acenter%7D%2Enav%2Djustified%3E%2Edropdown%20%2Edropdown%2Dmenu%7Btop%3Aauto%3Bleft%3Aauto%7D%40media%20%28min%2Dwidth%3A768px%29%7B%2Enav%2Djustified%3Eli%7Bdisplay%3Atable%2Dcell%3Bwidth%3A1%25%7D%2Enav%2Djustified%3Eli%3Ea%7Bmargin%2Dbottom%3A0%7D%7D%2Enav%2Dtabs%2Djustified%7Bborder%2Dbottom%3A0%7D%2Enav%2Dtabs%2Djustified%3Eli%3Ea%7Bmargin%2Dright%3A0%3Bborder%2Dradius%3A4px%7D%2Enav%2Dtabs%2Djustified%3E%2Eactive%3Ea%2C%2Enav%2Dtabs%2Djustified%3E%2Eactive%3Ea%3Afocus%2C%2Enav%2Dtabs%2Djustified%3E%2Eactive%3Ea%3Ahover%7Bborder%3A1px%20solid%20%23ddd%7D%40media%20%28min%2Dwidth%3A768px%29%7B%2Enav%2Dtabs%2Djustified%3Eli%3Ea%7Bborder%2Dbottom%3A1px%20solid%20%23ddd%3Bborder%2Dradius%3A4px%204px%200%200%7D%2Enav%2Dtabs%2Djustified%3E%2Eactive%3Ea%2C%2Enav%2Dtabs%2Djustified%3E%2Eactive%3Ea%3Afocus%2C%2Enav%2Dtabs%2Djustified%3E%2Eactive%3Ea%3Ahover%7Bborder%2Dbottom%2Dcolor%3A%23fff%7D%7D%2Etab%2Dcontent%3E%2Etab%2Dpane%7Bdisplay%3Anone%7D%2Etab%2Dcontent%3E%2Eactive%7Bdisplay%3Ablock%7D%2Enav%2Dtabs%20%2Edropdown%2Dmenu%7Bmargin%2Dtop%3A%2D1px%3Bborder%2Dtop%2Dleft%2Dradius%3A0%3Bborder%2Dtop%2Dright%2Dradius%3A0%7D%2Enavbar%7Bposition%3Arelative%3Bmin%2Dheight%3A50px%3Bmargin%2Dbottom%3A20px%3Bborder%3A1px%20solid%20transparent%7D%40media%20%28min%2Dwidth%3A768px%29%7B%2Enavbar%7Bborder%2Dradius%3A4px%7D%7D%40media%20%28min%2Dwidth%3A768px%29%7B%2Enavbar%2Dheader%7Bfloat%3Aleft%7D%7D%2Enavbar%2Dcollapse%7Bpadding%2Dright%3A15px%3Bpadding%2Dleft%3A15px%3Boverflow%2Dx%3Avisible%3B%2Dwebkit%2Doverflow%2Dscrolling%3Atouch%3Bborder%2Dtop%3A1px%20solid%20transparent%3B%2Dwebkit%2Dbox%2Dshadow%3Ainset%200%201px%200%20rgba%28255%2C255%2C255%2C%2E1%29%3Bbox%2Dshadow%3Ainset%200%201px%200%20rgba%28255%2C255%2C255%2C%2E1%29%7D%2Enavbar%2Dcollapse%2Ein%7Boverflow%2Dy%3Aauto%7D%40media%20%28min%2Dwidth%3A768px%29%7B%2Enavbar%2Dcollapse%7Bwidth%3Aauto%3Bborder%2Dtop%3A0%3B%2Dwebkit%2Dbox%2Dshadow%3Anone%3Bbox%2Dshadow%3Anone%7D%2Enavbar%2Dcollapse%2Ecollapse%7Bdisplay%3Ablock%21important%3Bheight%3Aauto%21important%3Bpadding%2Dbottom%3A0%3Boverflow%3Avisible%21important%7D%2Enavbar%2Dcollapse%2Ein%7Boverflow%2Dy%3Avisible%7D%2Enavbar%2Dfixed%2Dbottom%20%2Enavbar%2Dcollapse%2C%2Enavbar%2Dfixed%2Dtop%20%2Enavbar%2Dcollapse%2C%2Enavbar%2Dstatic%2Dtop%20%2Enavbar%2Dcollapse%7Bpadding%2Dright%3A0%3Bpadding%2Dleft%3A0%7D%7D%2Enavbar%2Dfixed%2Dbottom%20%2Enavbar%2Dcollapse%2C%2Enavbar%2Dfixed%2Dtop%20%2Enavbar%2Dcollapse%7Bmax%2Dheight%3A340px%7D%40media%20%28max%2Ddevice%2Dwidth%3A480px%29%20and%20%28orientation%3Alandscape%29%7B%2Enavbar%2Dfixed%2Dbottom%20%2Enavbar%2Dcollapse%2C%2Enavbar%2Dfixed%2Dtop%20%2Enavbar%2Dcollapse%7Bmax%2Dheight%3A200px%7D%7D%2Econtainer%2Dfluid%3E%2Enavbar%2Dcollapse%2C%2Econtainer%2Dfluid%3E%2Enavbar%2Dheader%2C%2Econtainer%3E%2Enavbar%2Dcollapse%2C%2Econtainer%3E%2Enavbar%2Dheader%7Bmargin%2Dright%3A%2D15px%3Bmargin%2Dleft%3A%2D15px%7D%40media%20%28min%2Dwidth%3A768px%29%7B%2Econtainer%2Dfluid%3E%2Enavbar%2Dcollapse%2C%2Econtainer%2Dfluid%3E%2Enavbar%2Dheader%2C%2Econtainer%3E%2Enavbar%2Dcollapse%2C%2Econtainer%3E%2Enavbar%2Dheader%7Bmargin%2Dright%3A0%3Bmargin%2Dleft%3A0%7D%7D%2Enavbar%2Dstatic%2Dtop%7Bz%2Dindex%3A1000%3Bborder%2Dwidth%3A0%200%201px%7D%40media%20%28min%2Dwidth%3A768px%29%7B%2Enavbar%2Dstatic%2Dtop%7Bborder%2Dradius%3A0%7D%7D%2Enavbar%2Dfixed%2Dbottom%2C%2Enavbar%2Dfixed%2Dtop%7Bposition%3Afixed%3Bright%3A0%3Bleft%3A0%3Bz%2Dindex%3A1030%7D%40media%20%28min%2Dwidth%3A768px%29%7B%2Enavbar%2Dfixed%2Dbottom%2C%2Enavbar%2Dfixed%2Dtop%7Bborder%2Dradius%3A0%7D%7D%2Enavbar%2Dfixed%2Dtop%7Btop%3A0%3Bborder%2Dwidth%3A0%200%201px%7D%2Enavbar%2Dfixed%2Dbottom%7Bbottom%3A0%3Bmargin%2Dbottom%3A0%3Bborder%2Dwidth%3A1px%200%200%7D%2Enavbar%2Dbrand%7Bfloat%3Aleft%3Bheight%3A50px%3Bpadding%3A15px%2015px%3Bfont%2Dsize%3A18px%3Bline%2Dheight%3A20px%7D%2Enavbar%2Dbrand%3Afocus%2C%2Enavbar%2Dbrand%3Ahover%7Btext%2Ddecoration%3Anone%7D%2Enavbar%2Dbrand%3Eimg%7Bdisplay%3Ablock%7D%40media%20%28min%2Dwidth%3A768px%29%7B%2Enavbar%3E%2Econtainer%20%2Enavbar%2Dbrand%2C%2Enavbar%3E%2Econtainer%2Dfluid%20%2Enavbar%2Dbrand%7Bmargin%2Dleft%3A%2D15px%7D%7D%2Enavbar%2Dtoggle%7Bposition%3Arelative%3Bfloat%3Aright%3Bpadding%3A9px%2010px%3Bmargin%2Dtop%3A8px%3Bmargin%2Dright%3A15px%3Bmargin%2Dbottom%3A8px%3Bbackground%2Dcolor%3Atransparent%3Bbackground%2Dimage%3Anone%3Bborder%3A1px%20solid%20transparent%3Bborder%2Dradius%3A4px%7D%2Enavbar%2Dtoggle%3Afocus%7Boutline%3A0%7D%2Enavbar%2Dtoggle%20%2Eicon%2Dbar%7Bdisplay%3Ablock%3Bwidth%3A22px%3Bheight%3A2px%3Bborder%2Dradius%3A1px%7D%2Enavbar%2Dtoggle%20%2Eicon%2Dbar%2B%2Eicon%2Dbar%7Bmargin%2Dtop%3A4px%7D%40media%20%28min%2Dwidth%3A768px%29%7B%2Enavbar%2Dtoggle%7Bdisplay%3Anone%7D%7D%2Enavbar%2Dnav%7Bmargin%3A7%2E5px%20%2D15px%7D%2Enavbar%2Dnav%3Eli%3Ea%7Bpadding%2Dtop%3A10px%3Bpadding%2Dbottom%3A10px%3Bline%2Dheight%3A20px%7D%40media%20%28max%2Dwidth%3A767px%29%7B%2Enavbar%2Dnav%20%2Eopen%20%2Edropdown%2Dmenu%7Bposition%3Astatic%3Bfloat%3Anone%3Bwidth%3Aauto%3Bmargin%2Dtop%3A0%3Bbackground%2Dcolor%3Atransparent%3Bborder%3A0%3B%2Dwebkit%2Dbox%2Dshadow%3Anone%3Bbox%2Dshadow%3Anone%7D%2Enavbar%2Dnav%20%2Eopen%20%2Edropdown%2Dmenu%20%2Edropdown%2Dheader%2C%2Enavbar%2Dnav%20%2Eopen%20%2Edropdown%2Dmenu%3Eli%3Ea%7Bpadding%3A5px%2015px%205px%2025px%7D%2Enavbar%2Dnav%20%2Eopen%20%2Edropdown%2Dmenu%3Eli%3Ea%7Bline%2Dheight%3A20px%7D%2Enavbar%2Dnav%20%2Eopen%20%2Edropdown%2Dmenu%3Eli%3Ea%3Afocus%2C%2Enavbar%2Dnav%20%2Eopen%20%2Edropdown%2Dmenu%3Eli%3Ea%3Ahover%7Bbackground%2Dimage%3Anone%7D%7D%40media%20%28min%2Dwidth%3A768px%29%7B%2Enavbar%2Dnav%7Bfloat%3Aleft%3Bmargin%3A0%7D%2Enavbar%2Dnav%3Eli%7Bfloat%3Aleft%7D%2Enavbar%2Dnav%3Eli%3Ea%7Bpadding%2Dtop%3A15px%3Bpadding%2Dbottom%3A15px%7D%7D%2Enavbar%2Dform%7Bpadding%3A10px%2015px%3Bmargin%2Dtop%3A8px%3Bmargin%2Dright%3A%2D15px%3Bmargin%2Dbottom%3A8px%3Bmargin%2Dleft%3A%2D15px%3Bborder%2Dtop%3A1px%20solid%20transparent%3Bborder%2Dbottom%3A1px%20solid%20transparent%3B%2Dwebkit%2Dbox%2Dshadow%3Ainset%200%201px%200%20rgba%28255%2C255%2C255%2C%2E1%29%2C0%201px%200%20rgba%28255%2C255%2C255%2C%2E1%29%3Bbox%2Dshadow%3Ainset%200%201px%200%20rgba%28255%2C255%2C255%2C%2E1%29%2C0%201px%200%20rgba%28255%2C255%2C255%2C%2E1%29%7D%40media%20%28min%2Dwidth%3A768px%29%7B%2Enavbar%2Dform%20%2Eform%2Dgroup%7Bdisplay%3Ainline%2Dblock%3Bmargin%2Dbottom%3A0%3Bvertical%2Dalign%3Amiddle%7D%2Enavbar%2Dform%20%2Eform%2Dcontrol%7Bdisplay%3Ainline%2Dblock%3Bwidth%3Aauto%3Bvertical%2Dalign%3Amiddle%7D%2Enavbar%2Dform%20%2Eform%2Dcontrol%2Dstatic%7Bdisplay%3Ainline%2Dblock%7D%2Enavbar%2Dform%20%2Einput%2Dgroup%7Bdisplay%3Ainline%2Dtable%3Bvertical%2Dalign%3Amiddle%7D%2Enavbar%2Dform%20%2Einput%2Dgroup%20%2Eform%2Dcontrol%2C%2Enavbar%2Dform%20%2Einput%2Dgroup%20%2Einput%2Dgroup%2Daddon%2C%2Enavbar%2Dform%20%2Einput%2Dgroup%20%2Einput%2Dgroup%2Dbtn%7Bwidth%3Aauto%7D%2Enavbar%2Dform%20%2Einput%2Dgroup%3E%2Eform%2Dcontrol%7Bwidth%3A100%25%7D%2Enavbar%2Dform%20%2Econtrol%2Dlabel%7Bmargin%2Dbottom%3A0%3Bvertical%2Dalign%3Amiddle%7D%2Enavbar%2Dform%20%2Echeckbox%2C%2Enavbar%2Dform%20%2Eradio%7Bdisplay%3Ainline%2Dblock%3Bmargin%2Dtop%3A0%3Bmargin%2Dbottom%3A0%3Bvertical%2Dalign%3Amiddle%7D%2Enavbar%2Dform%20%2Echeckbox%20label%2C%2Enavbar%2Dform%20%2Eradio%20label%7Bpadding%2Dleft%3A0%7D%2Enavbar%2Dform%20%2Echeckbox%20input%5Btype%3Dcheckbox%5D%2C%2Enavbar%2Dform%20%2Eradio%20input%5Btype%3Dradio%5D%7Bposition%3Arelative%3Bmargin%2Dleft%3A0%7D%2Enavbar%2Dform%20%2Ehas%2Dfeedback%20%2Eform%2Dcontrol%2Dfeedback%7Btop%3A0%7D%7D%40media%20%28max%2Dwidth%3A767px%29%7B%2Enavbar%2Dform%20%2Eform%2Dgroup%7Bmargin%2Dbottom%3A5px%7D%2Enavbar%2Dform%20%2Eform%2Dgroup%3Alast%2Dchild%7Bmargin%2Dbottom%3A0%7D%7D%40media%20%28min%2Dwidth%3A768px%29%7B%2Enavbar%2Dform%7Bwidth%3Aauto%3Bpadding%2Dtop%3A0%3Bpadding%2Dbottom%3A0%3Bmargin%2Dright%3A0%3Bmargin%2Dleft%3A0%3Bborder%3A0%3B%2Dwebkit%2Dbox%2Dshadow%3Anone%3Bbox%2Dshadow%3Anone%7D%7D%2Enavbar%2Dnav%3Eli%3E%2Edropdown%2Dmenu%7Bmargin%2Dtop%3A0%3Bborder%2Dtop%2Dleft%2Dradius%3A0%3Bborder%2Dtop%2Dright%2Dradius%3A0%7D%2Enavbar%2Dfixed%2Dbottom%20%2Enavbar%2Dnav%3Eli%3E%2Edropdown%2Dmenu%7Bmargin%2Dbottom%3A0%3Bborder%2Dtop%2Dleft%2Dradius%3A4px%3Bborder%2Dtop%2Dright%2Dradius%3A4px%3Bborder%2Dbottom%2Dright%2Dradius%3A0%3Bborder%2Dbottom%2Dleft%2Dradius%3A0%7D%2Enavbar%2Dbtn%7Bmargin%2Dtop%3A8px%3Bmargin%2Dbottom%3A8px%7D%2Enavbar%2Dbtn%2Ebtn%2Dsm%7Bmargin%2Dtop%3A10px%3Bmargin%2Dbottom%3A10px%7D%2Enavbar%2Dbtn%2Ebtn%2Dxs%7Bmargin%2Dtop%3A14px%3Bmargin%2Dbottom%3A14px%7D%2Enavbar%2Dtext%7Bmargin%2Dtop%3A15px%3Bmargin%2Dbottom%3A15px%7D%40media%20%28min%2Dwidth%3A768px%29%7B%2Enavbar%2Dtext%7Bfloat%3Aleft%3Bmargin%2Dright%3A15px%3Bmargin%2Dleft%3A15px%7D%7D%40media%20%28min%2Dwidth%3A768px%29%7B%2Enavbar%2Dleft%7Bfloat%3Aleft%21important%7D%2Enavbar%2Dright%7Bfloat%3Aright%21important%3Bmargin%2Dright%3A%2D15px%7D%2Enavbar%2Dright%7E%2Enavbar%2Dright%7Bmargin%2Dright%3A0%7D%7D%2Enavbar%2Ddefault%7Bbackground%2Dcolor%3A%23f8f8f8%3Bborder%2Dcolor%3A%23e7e7e7%7D%2Enavbar%2Ddefault%20%2Enavbar%2Dbrand%7Bcolor%3A%23777%7D%2Enavbar%2Ddefault%20%2Enavbar%2Dbrand%3Afocus%2C%2Enavbar%2Ddefault%20%2Enavbar%2Dbrand%3Ahover%7Bcolor%3A%235e5e5e%3Bbackground%2Dcolor%3Atransparent%7D%2Enavbar%2Ddefault%20%2Enavbar%2Dtext%7Bcolor%3A%23777%7D%2Enavbar%2Ddefault%20%2Enavbar%2Dnav%3Eli%3Ea%7Bcolor%3A%23777%7D%2Enavbar%2Ddefault%20%2Enavbar%2Dnav%3Eli%3Ea%3Afocus%2C%2Enavbar%2Ddefault%20%2Enavbar%2Dnav%3Eli%3Ea%3Ahover%7Bcolor%3A%23333%3Bbackground%2Dcolor%3Atransparent%7D%2Enavbar%2Ddefault%20%2Enavbar%2Dnav%3E%2Eactive%3Ea%2C%2Enavbar%2Ddefault%20%2Enavbar%2Dnav%3E%2Eactive%3Ea%3Afocus%2C%2Enavbar%2Ddefault%20%2Enavbar%2Dnav%3E%2Eactive%3Ea%3Ahover%7Bcolor%3A%23555%3Bbackground%2Dcolor%3A%23e7e7e7%7D%2Enavbar%2Ddefault%20%2Enavbar%2Dnav%3E%2Edisabled%3Ea%2C%2Enavbar%2Ddefault%20%2Enavbar%2Dnav%3E%2Edisabled%3Ea%3Afocus%2C%2Enavbar%2Ddefault%20%2Enavbar%2Dnav%3E%2Edisabled%3Ea%3Ahover%7Bcolor%3A%23ccc%3Bbackground%2Dcolor%3Atransparent%7D%2Enavbar%2Ddefault%20%2Enavbar%2Dtoggle%7Bborder%2Dcolor%3A%23ddd%7D%2Enavbar%2Ddefault%20%2Enavbar%2Dtoggle%3Afocus%2C%2Enavbar%2Ddefault%20%2Enavbar%2Dtoggle%3Ahover%7Bbackground%2Dcolor%3A%23ddd%7D%2Enavbar%2Ddefault%20%2Enavbar%2Dtoggle%20%2Eicon%2Dbar%7Bbackground%2Dcolor%3A%23888%7D%2Enavbar%2Ddefault%20%2Enavbar%2Dcollapse%2C%2Enavbar%2Ddefault%20%2Enavbar%2Dform%7Bborder%2Dcolor%3A%23e7e7e7%7D%2Enavbar%2Ddefault%20%2Enavbar%2Dnav%3E%2Eopen%3Ea%2C%2Enavbar%2Ddefault%20%2Enavbar%2Dnav%3E%2Eopen%3Ea%3Afocus%2C%2Enavbar%2Ddefault%20%2Enavbar%2Dnav%3E%2Eopen%3Ea%3Ahover%7Bcolor%3A%23555%3Bbackground%2Dcolor%3A%23e7e7e7%7D%40media%20%28max%2Dwidth%3A767px%29%7B%2Enavbar%2Ddefault%20%2Enavbar%2Dnav%20%2Eopen%20%2Edropdown%2Dmenu%3Eli%3Ea%7Bcolor%3A%23777%7D%2Enavbar%2Ddefault%20%2Enavbar%2Dnav%20%2Eopen%20%2Edropdown%2Dmenu%3Eli%3Ea%3Afocus%2C%2Enavbar%2Ddefault%20%2Enavbar%2Dnav%20%2Eopen%20%2Edropdown%2Dmenu%3Eli%3Ea%3Ahover%7Bcolor%3A%23333%3Bbackground%2Dcolor%3Atransparent%7D%2Enavbar%2Ddefault%20%2Enavbar%2Dnav%20%2Eopen%20%2Edropdown%2Dmenu%3E%2Eactive%3Ea%2C%2Enavbar%2Ddefault%20%2Enavbar%2Dnav%20%2Eopen%20%2Edropdown%2Dmenu%3E%2Eactive%3Ea%3Afocus%2C%2Enavbar%2Ddefault%20%2Enavbar%2Dnav%20%2Eopen%20%2Edropdown%2Dmenu%3E%2Eactive%3Ea%3Ahover%7Bcolor%3A%23555%3Bbackground%2Dcolor%3A%23e7e7e7%7D%2Enavbar%2Ddefault%20%2Enavbar%2Dnav%20%2Eopen%20%2Edropdown%2Dmenu%3E%2Edisabled%3Ea%2C%2Enavbar%2Ddefault%20%2Enavbar%2Dnav%20%2Eopen%20%2Edropdown%2Dmenu%3E%2Edisabled%3Ea%3Afocus%2C%2Enavbar%2Ddefault%20%2Enavbar%2Dnav%20%2Eopen%20%2Edropdown%2Dmenu%3E%2Edisabled%3Ea%3Ahover%7Bcolor%3A%23ccc%3Bbackground%2Dcolor%3Atransparent%7D%7D%2Enavbar%2Ddefault%20%2Enavbar%2Dlink%7Bcolor%3A%23777%7D%2Enavbar%2Ddefault%20%2Enavbar%2Dlink%3Ahover%7Bcolor%3A%23333%7D%2Enavbar%2Ddefault%20%2Ebtn%2Dlink%7Bcolor%3A%23777%7D%2Enavbar%2Ddefault%20%2Ebtn%2Dlink%3Afocus%2C%2Enavbar%2Ddefault%20%2Ebtn%2Dlink%3Ahover%7Bcolor%3A%23333%7D%2Enavbar%2Ddefault%20%2Ebtn%2Dlink%5Bdisabled%5D%3Afocus%2C%2Enavbar%2Ddefault%20%2Ebtn%2Dlink%5Bdisabled%5D%3Ahover%2Cfieldset%5Bdisabled%5D%20%2Enavbar%2Ddefault%20%2Ebtn%2Dlink%3Afocus%2Cfieldset%5Bdisabled%5D%20%2Enavbar%2Ddefault%20%2Ebtn%2Dlink%3Ahover%7Bcolor%3A%23ccc%7D%2Enavbar%2Dinverse%7Bbackground%2Dcolor%3A%23222%3Bborder%2Dcolor%3A%23080808%7D%2Enavbar%2Dinverse%20%2Enavbar%2Dbrand%7Bcolor%3A%239d9d9d%7D%2Enavbar%2Dinverse%20%2Enavbar%2Dbrand%3Afocus%2C%2Enavbar%2Dinverse%20%2Enavbar%2Dbrand%3Ahover%7Bcolor%3A%23fff%3Bbackground%2Dcolor%3Atransparent%7D%2Enavbar%2Dinverse%20%2Enavbar%2Dtext%7Bcolor%3A%239d9d9d%7D%2Enavbar%2Dinverse%20%2Enavbar%2Dnav%3Eli%3Ea%7Bcolor%3A%239d9d9d%7D%2Enavbar%2Dinverse%20%2Enavbar%2Dnav%3Eli%3Ea%3Afocus%2C%2Enavbar%2Dinverse%20%2Enavbar%2Dnav%3Eli%3Ea%3Ahover%7Bcolor%3A%23fff%3Bbackground%2Dcolor%3Atransparent%7D%2Enavbar%2Dinverse%20%2Enavbar%2Dnav%3E%2Eactive%3Ea%2C%2Enavbar%2Dinverse%20%2Enavbar%2Dnav%3E%2Eactive%3Ea%3Afocus%2C%2Enavbar%2Dinverse%20%2Enavbar%2Dnav%3E%2Eactive%3Ea%3Ahover%7Bcolor%3A%23fff%3Bbackground%2Dcolor%3A%23080808%7D%2Enavbar%2Dinverse%20%2Enavbar%2Dnav%3E%2Edisabled%3Ea%2C%2Enavbar%2Dinverse%20%2Enavbar%2Dnav%3E%2Edisabled%3Ea%3Afocus%2C%2Enavbar%2Dinverse%20%2Enavbar%2Dnav%3E%2Edisabled%3Ea%3Ahover%7Bcolor%3A%23444%3Bbackground%2Dcolor%3Atransparent%7D%2Enavbar%2Dinverse%20%2Enavbar%2Dtoggle%7Bborder%2Dcolor%3A%23333%7D%2Enavbar%2Dinverse%20%2Enavbar%2Dtoggle%3Afocus%2C%2Enavbar%2Dinverse%20%2Enavbar%2Dtoggle%3Ahover%7Bbackground%2Dcolor%3A%23333%7D%2Enavbar%2Dinverse%20%2Enavbar%2Dtoggle%20%2Eicon%2Dbar%7Bbackground%2Dcolor%3A%23fff%7D%2Enavbar%2Dinverse%20%2Enavbar%2Dcollapse%2C%2Enavbar%2Dinverse%20%2Enavbar%2Dform%7Bborder%2Dcolor%3A%23101010%7D%2Enavbar%2Dinverse%20%2Enavbar%2Dnav%3E%2Eopen%3Ea%2C%2Enavbar%2Dinverse%20%2Enavbar%2Dnav%3E%2Eopen%3Ea%3Afocus%2C%2Enavbar%2Dinverse%20%2Enavbar%2Dnav%3E%2Eopen%3Ea%3Ahover%7Bcolor%3A%23fff%3Bbackground%2Dcolor%3A%23080808%7D%40media%20%28max%2Dwidth%3A767px%29%7B%2Enavbar%2Dinverse%20%2Enavbar%2Dnav%20%2Eopen%20%2Edropdown%2Dmenu%3E%2Edropdown%2Dheader%7Bborder%2Dcolor%3A%23080808%7D%2Enavbar%2Dinverse%20%2Enavbar%2Dnav%20%2Eopen%20%2Edropdown%2Dmenu%20%2Edivider%7Bbackground%2Dcolor%3A%23080808%7D%2Enavbar%2Dinverse%20%2Enavbar%2Dnav%20%2Eopen%20%2Edropdown%2Dmenu%3Eli%3Ea%7Bcolor%3A%239d9d9d%7D%2Enavbar%2Dinverse%20%2Enavbar%2Dnav%20%2Eopen%20%2Edropdown%2Dmenu%3Eli%3Ea%3Afocus%2C%2Enavbar%2Dinverse%20%2Enavbar%2Dnav%20%2Eopen%20%2Edropdown%2Dmenu%3Eli%3Ea%3Ahover%7Bcolor%3A%23fff%3Bbackground%2Dcolor%3Atransparent%7D%2Enavbar%2Dinverse%20%2Enavbar%2Dnav%20%2Eopen%20%2Edropdown%2Dmenu%3E%2Eactive%3Ea%2C%2Enavbar%2Dinverse%20%2Enavbar%2Dnav%20%2Eopen%20%2Edropdown%2Dmenu%3E%2Eactive%3Ea%3Afocus%2C%2Enavbar%2Dinverse%20%2Enavbar%2Dnav%20%2Eopen%20%2Edropdown%2Dmenu%3E%2Eactive%3Ea%3Ahover%7Bcolor%3A%23fff%3Bbackground%2Dcolor%3A%23080808%7D%2Enavbar%2Dinverse%20%2Enavbar%2Dnav%20%2Eopen%20%2Edropdown%2Dmenu%3E%2Edisabled%3Ea%2C%2Enavbar%2Dinverse%20%2Enavbar%2Dnav%20%2Eopen%20%2Edropdown%2Dmenu%3E%2Edisabled%3Ea%3Afocus%2C%2Enavbar%2Dinverse%20%2Enavbar%2Dnav%20%2Eopen%20%2Edropdown%2Dmenu%3E%2Edisabled%3Ea%3Ahover%7Bcolor%3A%23444%3Bbackground%2Dcolor%3Atransparent%7D%7D%2Enavbar%2Dinverse%20%2Enavbar%2Dlink%7Bcolor%3A%239d9d9d%7D%2Enavbar%2Dinverse%20%2Enavbar%2Dlink%3Ahover%7Bcolor%3A%23fff%7D%2Enavbar%2Dinverse%20%2Ebtn%2Dlink%7Bcolor%3A%239d9d9d%7D%2Enavbar%2Dinverse%20%2Ebtn%2Dlink%3Afocus%2C%2Enavbar%2Dinverse%20%2Ebtn%2Dlink%3Ahover%7Bcolor%3A%23fff%7D%2Enavbar%2Dinverse%20%2Ebtn%2Dlink%5Bdisabled%5D%3Afocus%2C%2Enavbar%2Dinverse%20%2Ebtn%2Dlink%5Bdisabled%5D%3Ahover%2Cfieldset%5Bdisabled%5D%20%2Enavbar%2Dinverse%20%2Ebtn%2Dlink%3Afocus%2Cfieldset%5Bdisabled%5D%20%2Enavbar%2Dinverse%20%2Ebtn%2Dlink%3Ahover%7Bcolor%3A%23444%7D%2Ebreadcrumb%7Bpadding%3A8px%2015px%3Bmargin%2Dbottom%3A20px%3Blist%2Dstyle%3Anone%3Bbackground%2Dcolor%3A%23f5f5f5%3Bborder%2Dradius%3A4px%7D%2Ebreadcrumb%3Eli%7Bdisplay%3Ainline%2Dblock%7D%2Ebreadcrumb%3Eli%2Bli%3Abefore%7Bpadding%3A0%205px%3Bcolor%3A%23ccc%3Bcontent%3A%22%2F%5C00a0%22%7D%2Ebreadcrumb%3E%2Eactive%7Bcolor%3A%23777%7D%2Epagination%7Bdisplay%3Ainline%2Dblock%3Bpadding%2Dleft%3A0%3Bmargin%3A20px%200%3Bborder%2Dradius%3A4px%7D%2Epagination%3Eli%7Bdisplay%3Ainline%7D%2Epagination%3Eli%3Ea%2C%2Epagination%3Eli%3Espan%7Bposition%3Arelative%3Bfloat%3Aleft%3Bpadding%3A6px%2012px%3Bmargin%2Dleft%3A%2D1px%3Bline%2Dheight%3A1%2E42857143%3Bcolor%3A%23337ab7%3Btext%2Ddecoration%3Anone%3Bbackground%2Dcolor%3A%23fff%3Bborder%3A1px%20solid%20%23ddd%7D%2Epagination%3Eli%3Afirst%2Dchild%3Ea%2C%2Epagination%3Eli%3Afirst%2Dchild%3Espan%7Bmargin%2Dleft%3A0%3Bborder%2Dtop%2Dleft%2Dradius%3A4px%3Bborder%2Dbottom%2Dleft%2Dradius%3A4px%7D%2Epagination%3Eli%3Alast%2Dchild%3Ea%2C%2Epagination%3Eli%3Alast%2Dchild%3Espan%7Bborder%2Dtop%2Dright%2Dradius%3A4px%3Bborder%2Dbottom%2Dright%2Dradius%3A4px%7D%2Epagination%3Eli%3Ea%3Afocus%2C%2Epagination%3Eli%3Ea%3Ahover%2C%2Epagination%3Eli%3Espan%3Afocus%2C%2Epagination%3Eli%3Espan%3Ahover%7Bz%2Dindex%3A3%3Bcolor%3A%2323527c%3Bbackground%2Dcolor%3A%23eee%3Bborder%2Dcolor%3A%23ddd%7D%2Epagination%3E%2Eactive%3Ea%2C%2Epagination%3E%2Eactive%3Ea%3Afocus%2C%2Epagination%3E%2Eactive%3Ea%3Ahover%2C%2Epagination%3E%2Eactive%3Espan%2C%2Epagination%3E%2Eactive%3Espan%3Afocus%2C%2Epagination%3E%2Eactive%3Espan%3Ahover%7Bz%2Dindex%3A2%3Bcolor%3A%23fff%3Bcursor%3Adefault%3Bbackground%2Dcolor%3A%23337ab7%3Bborder%2Dcolor%3A%23337ab7%7D%2Epagination%3E%2Edisabled%3Ea%2C%2Epagination%3E%2Edisabled%3Ea%3Afocus%2C%2Epagination%3E%2Edisabled%3Ea%3Ahover%2C%2Epagination%3E%2Edisabled%3Espan%2C%2Epagination%3E%2Edisabled%3Espan%3Afocus%2C%2Epagination%3E%2Edisabled%3Espan%3Ahover%7Bcolor%3A%23777%3Bcursor%3Anot%2Dallowed%3Bbackground%2Dcolor%3A%23fff%3Bborder%2Dcolor%3A%23ddd%7D%2Epagination%2Dlg%3Eli%3Ea%2C%2Epagination%2Dlg%3Eli%3Espan%7Bpadding%3A10px%2016px%3Bfont%2Dsize%3A18px%3Bline%2Dheight%3A1%2E3333333%7D%2Epagination%2Dlg%3Eli%3Afirst%2Dchild%3Ea%2C%2Epagination%2Dlg%3Eli%3Afirst%2Dchild%3Espan%7Bborder%2Dtop%2Dleft%2Dradius%3A6px%3Bborder%2Dbottom%2Dleft%2Dradius%3A6px%7D%2Epagination%2Dlg%3Eli%3Alast%2Dchild%3Ea%2C%2Epagination%2Dlg%3Eli%3Alast%2Dchild%3Espan%7Bborder%2Dtop%2Dright%2Dradius%3A6px%3Bborder%2Dbottom%2Dright%2Dradius%3A6px%7D%2Epagination%2Dsm%3Eli%3Ea%2C%2Epagination%2Dsm%3Eli%3Espan%7Bpadding%3A5px%2010px%3Bfont%2Dsize%3A12px%3Bline%2Dheight%3A1%2E5%7D%2Epagination%2Dsm%3Eli%3Afirst%2Dchild%3Ea%2C%2Epagination%2Dsm%3Eli%3Afirst%2Dchild%3Espan%7Bborder%2Dtop%2Dleft%2Dradius%3A3px%3Bborder%2Dbottom%2Dleft%2Dradius%3A3px%7D%2Epagination%2Dsm%3Eli%3Alast%2Dchild%3Ea%2C%2Epagination%2Dsm%3Eli%3Alast%2Dchild%3Espan%7Bborder%2Dtop%2Dright%2Dradius%3A3px%3Bborder%2Dbottom%2Dright%2Dradius%3A3px%7D%2Epager%7Bpadding%2Dleft%3A0%3Bmargin%3A20px%200%3Btext%2Dalign%3Acenter%3Blist%2Dstyle%3Anone%7D%2Epager%20li%7Bdisplay%3Ainline%7D%2Epager%20li%3Ea%2C%2Epager%20li%3Espan%7Bdisplay%3Ainline%2Dblock%3Bpadding%3A5px%2014px%3Bbackground%2Dcolor%3A%23fff%3Bborder%3A1px%20solid%20%23ddd%3Bborder%2Dradius%3A15px%7D%2Epager%20li%3Ea%3Afocus%2C%2Epager%20li%3Ea%3Ahover%7Btext%2Ddecoration%3Anone%3Bbackground%2Dcolor%3A%23eee%7D%2Epager%20%2Enext%3Ea%2C%2Epager%20%2Enext%3Espan%7Bfloat%3Aright%7D%2Epager%20%2Eprevious%3Ea%2C%2Epager%20%2Eprevious%3Espan%7Bfloat%3Aleft%7D%2Epager%20%2Edisabled%3Ea%2C%2Epager%20%2Edisabled%3Ea%3Afocus%2C%2Epager%20%2Edisabled%3Ea%3Ahover%2C%2Epager%20%2Edisabled%3Espan%7Bcolor%3A%23777%3Bcursor%3Anot%2Dallowed%3Bbackground%2Dcolor%3A%23fff%7D%2Elabel%7Bdisplay%3Ainline%3Bpadding%3A%2E2em%20%2E6em%20%2E3em%3Bfont%2Dsize%3A75%25%3Bfont%2Dweight%3A700%3Bline%2Dheight%3A1%3Bcolor%3A%23fff%3Btext%2Dalign%3Acenter%3Bwhite%2Dspace%3Anowrap%3Bvertical%2Dalign%3Abaseline%3Bborder%2Dradius%3A%2E25em%7Da%2Elabel%3Afocus%2Ca%2Elabel%3Ahover%7Bcolor%3A%23fff%3Btext%2Ddecoration%3Anone%3Bcursor%3Apointer%7D%2Elabel%3Aempty%7Bdisplay%3Anone%7D%2Ebtn%20%2Elabel%7Bposition%3Arelative%3Btop%3A%2D1px%7D%2Elabel%2Ddefault%7Bbackground%2Dcolor%3A%23777%7D%2Elabel%2Ddefault%5Bhref%5D%3Afocus%2C%2Elabel%2Ddefault%5Bhref%5D%3Ahover%7Bbackground%2Dcolor%3A%235e5e5e%7D%2Elabel%2Dprimary%7Bbackground%2Dcolor%3A%23337ab7%7D%2Elabel%2Dprimary%5Bhref%5D%3Afocus%2C%2Elabel%2Dprimary%5Bhref%5D%3Ahover%7Bbackground%2Dcolor%3A%23286090%7D%2Elabel%2Dsuccess%7Bbackground%2Dcolor%3A%235cb85c%7D%2Elabel%2Dsuccess%5Bhref%5D%3Afocus%2C%2Elabel%2Dsuccess%5Bhref%5D%3Ahover%7Bbackground%2Dcolor%3A%23449d44%7D%2Elabel%2Dinfo%7Bbackground%2Dcolor%3A%235bc0de%7D%2Elabel%2Dinfo%5Bhref%5D%3Afocus%2C%2Elabel%2Dinfo%5Bhref%5D%3Ahover%7Bbackground%2Dcolor%3A%2331b0d5%7D%2Elabel%2Dwarning%7Bbackground%2Dcolor%3A%23f0ad4e%7D%2Elabel%2Dwarning%5Bhref%5D%3Afocus%2C%2Elabel%2Dwarning%5Bhref%5D%3Ahover%7Bbackground%2Dcolor%3A%23ec971f%7D%2Elabel%2Ddanger%7Bbackground%2Dcolor%3A%23d9534f%7D%2Elabel%2Ddanger%5Bhref%5D%3Afocus%2C%2Elabel%2Ddanger%5Bhref%5D%3Ahover%7Bbackground%2Dcolor%3A%23c9302c%7D%2Ebadge%7Bdisplay%3Ainline%2Dblock%3Bmin%2Dwidth%3A10px%3Bpadding%3A3px%207px%3Bfont%2Dsize%3A12px%3Bfont%2Dweight%3A700%3Bline%2Dheight%3A1%3Bcolor%3A%23fff%3Btext%2Dalign%3Acenter%3Bwhite%2Dspace%3Anowrap%3Bvertical%2Dalign%3Amiddle%3Bbackground%2Dcolor%3A%23777%3Bborder%2Dradius%3A10px%7D%2Ebadge%3Aempty%7Bdisplay%3Anone%7D%2Ebtn%20%2Ebadge%7Bposition%3Arelative%3Btop%3A%2D1px%7D%2Ebtn%2Dgroup%2Dxs%3E%2Ebtn%20%2Ebadge%2C%2Ebtn%2Dxs%20%2Ebadge%7Btop%3A0%3Bpadding%3A1px%205px%7Da%2Ebadge%3Afocus%2Ca%2Ebadge%3Ahover%7Bcolor%3A%23fff%3Btext%2Ddecoration%3Anone%3Bcursor%3Apointer%7D%2Elist%2Dgroup%2Ditem%2Eactive%3E%2Ebadge%2C%2Enav%2Dpills%3E%2Eactive%3Ea%3E%2Ebadge%7Bcolor%3A%23337ab7%3Bbackground%2Dcolor%3A%23fff%7D%2Elist%2Dgroup%2Ditem%3E%2Ebadge%7Bfloat%3Aright%7D%2Elist%2Dgroup%2Ditem%3E%2Ebadge%2B%2Ebadge%7Bmargin%2Dright%3A5px%7D%2Enav%2Dpills%3Eli%3Ea%3E%2Ebadge%7Bmargin%2Dleft%3A3px%7D%2Ejumbotron%7Bpadding%2Dtop%3A30px%3Bpadding%2Dbottom%3A30px%3Bmargin%2Dbottom%3A30px%3Bcolor%3Ainherit%3Bbackground%2Dcolor%3A%23eee%7D%2Ejumbotron%20%2Eh1%2C%2Ejumbotron%20h1%7Bcolor%3Ainherit%7D%2Ejumbotron%20p%7Bmargin%2Dbottom%3A15px%3Bfont%2Dsize%3A21px%3Bfont%2Dweight%3A200%7D%2Ejumbotron%3Ehr%7Bborder%2Dtop%2Dcolor%3A%23d5d5d5%7D%2Econtainer%20%2Ejumbotron%2C%2Econtainer%2Dfluid%20%2Ejumbotron%7Bborder%2Dradius%3A6px%7D%2Ejumbotron%20%2Econtainer%7Bmax%2Dwidth%3A100%25%7D%40media%20screen%20and%20%28min%2Dwidth%3A768px%29%7B%2Ejumbotron%7Bpadding%2Dtop%3A48px%3Bpadding%2Dbottom%3A48px%7D%2Econtainer%20%2Ejumbotron%2C%2Econtainer%2Dfluid%20%2Ejumbotron%7Bpadding%2Dright%3A60px%3Bpadding%2Dleft%3A60px%7D%2Ejumbotron%20%2Eh1%2C%2Ejumbotron%20h1%7Bfont%2Dsize%3A63px%7D%7D%2Ethumbnail%7Bdisplay%3Ablock%3Bpadding%3A4px%3Bmargin%2Dbottom%3A20px%3Bline%2Dheight%3A1%2E42857143%3Bbackground%2Dcolor%3A%23fff%3Bborder%3A1px%20solid%20%23ddd%3Bborder%2Dradius%3A4px%3B%2Dwebkit%2Dtransition%3Aborder%20%2E2s%20ease%2Din%2Dout%3B%2Do%2Dtransition%3Aborder%20%2E2s%20ease%2Din%2Dout%3Btransition%3Aborder%20%2E2s%20ease%2Din%2Dout%7D%2Ethumbnail%20a%3Eimg%2C%2Ethumbnail%3Eimg%7Bmargin%2Dright%3Aauto%3Bmargin%2Dleft%3Aauto%7Da%2Ethumbnail%2Eactive%2Ca%2Ethumbnail%3Afocus%2Ca%2Ethumbnail%3Ahover%7Bborder%2Dcolor%3A%23337ab7%7D%2Ethumbnail%20%2Ecaption%7Bpadding%3A9px%3Bcolor%3A%23333%7D%2Ealert%7Bpadding%3A15px%3Bmargin%2Dbottom%3A20px%3Bborder%3A1px%20solid%20transparent%3Bborder%2Dradius%3A4px%7D%2Ealert%20h4%7Bmargin%2Dtop%3A0%3Bcolor%3Ainherit%7D%2Ealert%20%2Ealert%2Dlink%7Bfont%2Dweight%3A700%7D%2Ealert%3Ep%2C%2Ealert%3Eul%7Bmargin%2Dbottom%3A0%7D%2Ealert%3Ep%2Bp%7Bmargin%2Dtop%3A5px%7D%2Ealert%2Ddismissable%2C%2Ealert%2Ddismissible%7Bpadding%2Dright%3A35px%7D%2Ealert%2Ddismissable%20%2Eclose%2C%2Ealert%2Ddismissible%20%2Eclose%7Bposition%3Arelative%3Btop%3A%2D2px%3Bright%3A%2D21px%3Bcolor%3Ainherit%7D%2Ealert%2Dsuccess%7Bcolor%3A%233c763d%3Bbackground%2Dcolor%3A%23dff0d8%3Bborder%2Dcolor%3A%23d6e9c6%7D%2Ealert%2Dsuccess%20hr%7Bborder%2Dtop%2Dcolor%3A%23c9e2b3%7D%2Ealert%2Dsuccess%20%2Ealert%2Dlink%7Bcolor%3A%232b542c%7D%2Ealert%2Dinfo%7Bcolor%3A%2331708f%3Bbackground%2Dcolor%3A%23d9edf7%3Bborder%2Dcolor%3A%23bce8f1%7D%2Ealert%2Dinfo%20hr%7Bborder%2Dtop%2Dcolor%3A%23a6e1ec%7D%2Ealert%2Dinfo%20%2Ealert%2Dlink%7Bcolor%3A%23245269%7D%2Ealert%2Dwarning%7Bcolor%3A%238a6d3b%3Bbackground%2Dcolor%3A%23fcf8e3%3Bborder%2Dcolor%3A%23faebcc%7D%2Ealert%2Dwarning%20hr%7Bborder%2Dtop%2Dcolor%3A%23f7e1b5%7D%2Ealert%2Dwarning%20%2Ealert%2Dlink%7Bcolor%3A%2366512c%7D%2Ealert%2Ddanger%7Bcolor%3A%23a94442%3Bbackground%2Dcolor%3A%23f2dede%3Bborder%2Dcolor%3A%23ebccd1%7D%2Ealert%2Ddanger%20hr%7Bborder%2Dtop%2Dcolor%3A%23e4b9c0%7D%2Ealert%2Ddanger%20%2Ealert%2Dlink%7Bcolor%3A%23843534%7D%40%2Dwebkit%2Dkeyframes%20progress%2Dbar%2Dstripes%7Bfrom%7Bbackground%2Dposition%3A40px%200%7Dto%7Bbackground%2Dposition%3A0%200%7D%7D%40%2Do%2Dkeyframes%20progress%2Dbar%2Dstripes%7Bfrom%7Bbackground%2Dposition%3A40px%200%7Dto%7Bbackground%2Dposition%3A0%200%7D%7D%40keyframes%20progress%2Dbar%2Dstripes%7Bfrom%7Bbackground%2Dposition%3A40px%200%7Dto%7Bbackground%2Dposition%3A0%200%7D%7D%2Eprogress%7Bheight%3A20px%3Bmargin%2Dbottom%3A20px%3Boverflow%3Ahidden%3Bbackground%2Dcolor%3A%23f5f5f5%3Bborder%2Dradius%3A4px%3B%2Dwebkit%2Dbox%2Dshadow%3Ainset%200%201px%202px%20rgba%280%2C0%2C0%2C%2E1%29%3Bbox%2Dshadow%3Ainset%200%201px%202px%20rgba%280%2C0%2C0%2C%2E1%29%7D%2Eprogress%2Dbar%7Bfloat%3Aleft%3Bwidth%3A0%3Bheight%3A100%25%3Bfont%2Dsize%3A12px%3Bline%2Dheight%3A20px%3Bcolor%3A%23fff%3Btext%2Dalign%3Acenter%3Bbackground%2Dcolor%3A%23337ab7%3B%2Dwebkit%2Dbox%2Dshadow%3Ainset%200%20%2D1px%200%20rgba%280%2C0%2C0%2C%2E15%29%3Bbox%2Dshadow%3Ainset%200%20%2D1px%200%20rgba%280%2C0%2C0%2C%2E15%29%3B%2Dwebkit%2Dtransition%3Awidth%20%2E6s%20ease%3B%2Do%2Dtransition%3Awidth%20%2E6s%20ease%3Btransition%3Awidth%20%2E6s%20ease%7D%2Eprogress%2Dbar%2Dstriped%2C%2Eprogress%2Dstriped%20%2Eprogress%2Dbar%7Bbackground%2Dimage%3A%2Dwebkit%2Dlinear%2Dgradient%2845deg%2Crgba%28255%2C255%2C255%2C%2E15%29%2025%25%2Ctransparent%2025%25%2Ctransparent%2050%25%2Crgba%28255%2C255%2C255%2C%2E15%29%2050%25%2Crgba%28255%2C255%2C255%2C%2E15%29%2075%25%2Ctransparent%2075%25%2Ctransparent%29%3Bbackground%2Dimage%3A%2Do%2Dlinear%2Dgradient%2845deg%2Crgba%28255%2C255%2C255%2C%2E15%29%2025%25%2Ctransparent%2025%25%2Ctransparent%2050%25%2Crgba%28255%2C255%2C255%2C%2E15%29%2050%25%2Crgba%28255%2C255%2C255%2C%2E15%29%2075%25%2Ctransparent%2075%25%2Ctransparent%29%3Bbackground%2Dimage%3Alinear%2Dgradient%2845deg%2Crgba%28255%2C255%2C255%2C%2E15%29%2025%25%2Ctransparent%2025%25%2Ctransparent%2050%25%2Crgba%28255%2C255%2C255%2C%2E15%29%2050%25%2Crgba%28255%2C255%2C255%2C%2E15%29%2075%25%2Ctransparent%2075%25%2Ctransparent%29%3B%2Dwebkit%2Dbackground%2Dsize%3A40px%2040px%3Bbackground%2Dsize%3A40px%2040px%7D%2Eprogress%2Dbar%2Eactive%2C%2Eprogress%2Eactive%20%2Eprogress%2Dbar%7B%2Dwebkit%2Danimation%3Aprogress%2Dbar%2Dstripes%202s%20linear%20infinite%3B%2Do%2Danimation%3Aprogress%2Dbar%2Dstripes%202s%20linear%20infinite%3Banimation%3Aprogress%2Dbar%2Dstripes%202s%20linear%20infinite%7D%2Eprogress%2Dbar%2Dsuccess%7Bbackground%2Dcolor%3A%235cb85c%7D%2Eprogress%2Dstriped%20%2Eprogress%2Dbar%2Dsuccess%7Bbackground%2Dimage%3A%2Dwebkit%2Dlinear%2Dgradient%2845deg%2Crgba%28255%2C255%2C255%2C%2E15%29%2025%25%2Ctransparent%2025%25%2Ctransparent%2050%25%2Crgba%28255%2C255%2C255%2C%2E15%29%2050%25%2Crgba%28255%2C255%2C255%2C%2E15%29%2075%25%2Ctransparent%2075%25%2Ctransparent%29%3Bbackground%2Dimage%3A%2Do%2Dlinear%2Dgradient%2845deg%2Crgba%28255%2C255%2C255%2C%2E15%29%2025%25%2Ctransparent%2025%25%2Ctransparent%2050%25%2Crgba%28255%2C255%2C255%2C%2E15%29%2050%25%2Crgba%28255%2C255%2C255%2C%2E15%29%2075%25%2Ctransparent%2075%25%2Ctransparent%29%3Bbackground%2Dimage%3Alinear%2Dgradient%2845deg%2Crgba%28255%2C255%2C255%2C%2E15%29%2025%25%2Ctransparent%2025%25%2Ctransparent%2050%25%2Crgba%28255%2C255%2C255%2C%2E15%29%2050%25%2Crgba%28255%2C255%2C255%2C%2E15%29%2075%25%2Ctransparent%2075%25%2Ctransparent%29%7D%2Eprogress%2Dbar%2Dinfo%7Bbackground%2Dcolor%3A%235bc0de%7D%2Eprogress%2Dstriped%20%2Eprogress%2Dbar%2Dinfo%7Bbackground%2Dimage%3A%2Dwebkit%2Dlinear%2Dgradient%2845deg%2Crgba%28255%2C255%2C255%2C%2E15%29%2025%25%2Ctransparent%2025%25%2Ctransparent%2050%25%2Crgba%28255%2C255%2C255%2C%2E15%29%2050%25%2Crgba%28255%2C255%2C255%2C%2E15%29%2075%25%2Ctransparent%2075%25%2Ctransparent%29%3Bbackground%2Dimage%3A%2Do%2Dlinear%2Dgradient%2845deg%2Crgba%28255%2C255%2C255%2C%2E15%29%2025%25%2Ctransparent%2025%25%2Ctransparent%2050%25%2Crgba%28255%2C255%2C255%2C%2E15%29%2050%25%2Crgba%28255%2C255%2C255%2C%2E15%29%2075%25%2Ctransparent%2075%25%2Ctransparent%29%3Bbackground%2Dimage%3Alinear%2Dgradient%2845deg%2Crgba%28255%2C255%2C255%2C%2E15%29%2025%25%2Ctransparent%2025%25%2Ctransparent%2050%25%2Crgba%28255%2C255%2C255%2C%2E15%29%2050%25%2Crgba%28255%2C255%2C255%2C%2E15%29%2075%25%2Ctransparent%2075%25%2Ctransparent%29%7D%2Eprogress%2Dbar%2Dwarning%7Bbackground%2Dcolor%3A%23f0ad4e%7D%2Eprogress%2Dstriped%20%2Eprogress%2Dbar%2Dwarning%7Bbackground%2Dimage%3A%2Dwebkit%2Dlinear%2Dgradient%2845deg%2Crgba%28255%2C255%2C255%2C%2E15%29%2025%25%2Ctransparent%2025%25%2Ctransparent%2050%25%2Crgba%28255%2C255%2C255%2C%2E15%29%2050%25%2Crgba%28255%2C255%2C255%2C%2E15%29%2075%25%2Ctransparent%2075%25%2Ctransparent%29%3Bbackground%2Dimage%3A%2Do%2Dlinear%2Dgradient%2845deg%2Crgba%28255%2C255%2C255%2C%2E15%29%2025%25%2Ctransparent%2025%25%2Ctransparent%2050%25%2Crgba%28255%2C255%2C255%2C%2E15%29%2050%25%2Crgba%28255%2C255%2C255%2C%2E15%29%2075%25%2Ctransparent%2075%25%2Ctransparent%29%3Bbackground%2Dimage%3Alinear%2Dgradient%2845deg%2Crgba%28255%2C255%2C255%2C%2E15%29%2025%25%2Ctransparent%2025%25%2Ctransparent%2050%25%2Crgba%28255%2C255%2C255%2C%2E15%29%2050%25%2Crgba%28255%2C255%2C255%2C%2E15%29%2075%25%2Ctransparent%2075%25%2Ctransparent%29%7D%2Eprogress%2Dbar%2Ddanger%7Bbackground%2Dcolor%3A%23d9534f%7D%2Eprogress%2Dstriped%20%2Eprogress%2Dbar%2Ddanger%7Bbackground%2Dimage%3A%2Dwebkit%2Dlinear%2Dgradient%2845deg%2Crgba%28255%2C255%2C255%2C%2E15%29%2025%25%2Ctransparent%2025%25%2Ctransparent%2050%25%2Crgba%28255%2C255%2C255%2C%2E15%29%2050%25%2Crgba%28255%2C255%2C255%2C%2E15%29%2075%25%2Ctransparent%2075%25%2Ctransparent%29%3Bbackground%2Dimage%3A%2Do%2Dlinear%2Dgradient%2845deg%2Crgba%28255%2C255%2C255%2C%2E15%29%2025%25%2Ctransparent%2025%25%2Ctransparent%2050%25%2Crgba%28255%2C255%2C255%2C%2E15%29%2050%25%2Crgba%28255%2C255%2C255%2C%2E15%29%2075%25%2Ctransparent%2075%25%2Ctransparent%29%3Bbackground%2Dimage%3Alinear%2Dgradient%2845deg%2Crgba%28255%2C255%2C255%2C%2E15%29%2025%25%2Ctransparent%2025%25%2Ctransparent%2050%25%2Crgba%28255%2C255%2C255%2C%2E15%29%2050%25%2Crgba%28255%2C255%2C255%2C%2E15%29%2075%25%2Ctransparent%2075%25%2Ctransparent%29%7D%2Emedia%7Bmargin%2Dtop%3A15px%7D%2Emedia%3Afirst%2Dchild%7Bmargin%2Dtop%3A0%7D%2Emedia%2C%2Emedia%2Dbody%7Boverflow%3Ahidden%3Bzoom%3A1%7D%2Emedia%2Dbody%7Bwidth%3A10000px%7D%2Emedia%2Dobject%7Bdisplay%3Ablock%7D%2Emedia%2Dobject%2Eimg%2Dthumbnail%7Bmax%2Dwidth%3Anone%7D%2Emedia%2Dright%2C%2Emedia%3E%2Epull%2Dright%7Bpadding%2Dleft%3A10px%7D%2Emedia%2Dleft%2C%2Emedia%3E%2Epull%2Dleft%7Bpadding%2Dright%3A10px%7D%2Emedia%2Dbody%2C%2Emedia%2Dleft%2C%2Emedia%2Dright%7Bdisplay%3Atable%2Dcell%3Bvertical%2Dalign%3Atop%7D%2Emedia%2Dmiddle%7Bvertical%2Dalign%3Amiddle%7D%2Emedia%2Dbottom%7Bvertical%2Dalign%3Abottom%7D%2Emedia%2Dheading%7Bmargin%2Dtop%3A0%3Bmargin%2Dbottom%3A5px%7D%2Emedia%2Dlist%7Bpadding%2Dleft%3A0%3Blist%2Dstyle%3Anone%7D%2Elist%2Dgroup%7Bpadding%2Dleft%3A0%3Bmargin%2Dbottom%3A20px%7D%2Elist%2Dgroup%2Ditem%7Bposition%3Arelative%3Bdisplay%3Ablock%3Bpadding%3A10px%2015px%3Bmargin%2Dbottom%3A%2D1px%3Bbackground%2Dcolor%3A%23fff%3Bborder%3A1px%20solid%20%23ddd%7D%2Elist%2Dgroup%2Ditem%3Afirst%2Dchild%7Bborder%2Dtop%2Dleft%2Dradius%3A4px%3Bborder%2Dtop%2Dright%2Dradius%3A4px%7D%2Elist%2Dgroup%2Ditem%3Alast%2Dchild%7Bmargin%2Dbottom%3A0%3Bborder%2Dbottom%2Dright%2Dradius%3A4px%3Bborder%2Dbottom%2Dleft%2Dradius%3A4px%7Da%2Elist%2Dgroup%2Ditem%2Cbutton%2Elist%2Dgroup%2Ditem%7Bcolor%3A%23555%7Da%2Elist%2Dgroup%2Ditem%20%2Elist%2Dgroup%2Ditem%2Dheading%2Cbutton%2Elist%2Dgroup%2Ditem%20%2Elist%2Dgroup%2Ditem%2Dheading%7Bcolor%3A%23333%7Da%2Elist%2Dgroup%2Ditem%3Afocus%2Ca%2Elist%2Dgroup%2Ditem%3Ahover%2Cbutton%2Elist%2Dgroup%2Ditem%3Afocus%2Cbutton%2Elist%2Dgroup%2Ditem%3Ahover%7Bcolor%3A%23555%3Btext%2Ddecoration%3Anone%3Bbackground%2Dcolor%3A%23f5f5f5%7Dbutton%2Elist%2Dgroup%2Ditem%7Bwidth%3A100%25%3Btext%2Dalign%3Aleft%7D%2Elist%2Dgroup%2Ditem%2Edisabled%2C%2Elist%2Dgroup%2Ditem%2Edisabled%3Afocus%2C%2Elist%2Dgroup%2Ditem%2Edisabled%3Ahover%7Bcolor%3A%23777%3Bcursor%3Anot%2Dallowed%3Bbackground%2Dcolor%3A%23eee%7D%2Elist%2Dgroup%2Ditem%2Edisabled%20%2Elist%2Dgroup%2Ditem%2Dheading%2C%2Elist%2Dgroup%2Ditem%2Edisabled%3Afocus%20%2Elist%2Dgroup%2Ditem%2Dheading%2C%2Elist%2Dgroup%2Ditem%2Edisabled%3Ahover%20%2Elist%2Dgroup%2Ditem%2Dheading%7Bcolor%3Ainherit%7D%2Elist%2Dgroup%2Ditem%2Edisabled%20%2Elist%2Dgroup%2Ditem%2Dtext%2C%2Elist%2Dgroup%2Ditem%2Edisabled%3Afocus%20%2Elist%2Dgroup%2Ditem%2Dtext%2C%2Elist%2Dgroup%2Ditem%2Edisabled%3Ahover%20%2Elist%2Dgroup%2Ditem%2Dtext%7Bcolor%3A%23777%7D%2Elist%2Dgroup%2Ditem%2Eactive%2C%2Elist%2Dgroup%2Ditem%2Eactive%3Afocus%2C%2Elist%2Dgroup%2Ditem%2Eactive%3Ahover%7Bz%2Dindex%3A2%3Bcolor%3A%23fff%3Bbackground%2Dcolor%3A%23337ab7%3Bborder%2Dcolor%3A%23337ab7%7D%2Elist%2Dgroup%2Ditem%2Eactive%20%2Elist%2Dgroup%2Ditem%2Dheading%2C%2Elist%2Dgroup%2Ditem%2Eactive%20%2Elist%2Dgroup%2Ditem%2Dheading%3E%2Esmall%2C%2Elist%2Dgroup%2Ditem%2Eactive%20%2Elist%2Dgroup%2Ditem%2Dheading%3Esmall%2C%2Elist%2Dgroup%2Ditem%2Eactive%3Afocus%20%2Elist%2Dgroup%2Ditem%2Dheading%2C%2Elist%2Dgroup%2Ditem%2Eactive%3Afocus%20%2Elist%2Dgroup%2Ditem%2Dheading%3E%2Esmall%2C%2Elist%2Dgroup%2Ditem%2Eactive%3Afocus%20%2Elist%2Dgroup%2Ditem%2Dheading%3Esmall%2C%2Elist%2Dgroup%2Ditem%2Eactive%3Ahover%20%2Elist%2Dgroup%2Ditem%2Dheading%2C%2Elist%2Dgroup%2Ditem%2Eactive%3Ahover%20%2Elist%2Dgroup%2Ditem%2Dheading%3E%2Esmall%2C%2Elist%2Dgroup%2Ditem%2Eactive%3Ahover%20%2Elist%2Dgroup%2Ditem%2Dheading%3Esmall%7Bcolor%3Ainherit%7D%2Elist%2Dgroup%2Ditem%2Eactive%20%2Elist%2Dgroup%2Ditem%2Dtext%2C%2Elist%2Dgroup%2Ditem%2Eactive%3Afocus%20%2Elist%2Dgroup%2Ditem%2Dtext%2C%2Elist%2Dgroup%2Ditem%2Eactive%3Ahover%20%2Elist%2Dgroup%2Ditem%2Dtext%7Bcolor%3A%23c7ddef%7D%2Elist%2Dgroup%2Ditem%2Dsuccess%7Bcolor%3A%233c763d%3Bbackground%2Dcolor%3A%23dff0d8%7Da%2Elist%2Dgroup%2Ditem%2Dsuccess%2Cbutton%2Elist%2Dgroup%2Ditem%2Dsuccess%7Bcolor%3A%233c763d%7Da%2Elist%2Dgroup%2Ditem%2Dsuccess%20%2Elist%2Dgroup%2Ditem%2Dheading%2Cbutton%2Elist%2Dgroup%2Ditem%2Dsuccess%20%2Elist%2Dgroup%2Ditem%2Dheading%7Bcolor%3Ainherit%7Da%2Elist%2Dgroup%2Ditem%2Dsuccess%3Afocus%2Ca%2Elist%2Dgroup%2Ditem%2Dsuccess%3Ahover%2Cbutton%2Elist%2Dgroup%2Ditem%2Dsuccess%3Afocus%2Cbutton%2Elist%2Dgroup%2Ditem%2Dsuccess%3Ahover%7Bcolor%3A%233c763d%3Bbackground%2Dcolor%3A%23d0e9c6%7Da%2Elist%2Dgroup%2Ditem%2Dsuccess%2Eactive%2Ca%2Elist%2Dgroup%2Ditem%2Dsuccess%2Eactive%3Afocus%2Ca%2Elist%2Dgroup%2Ditem%2Dsuccess%2Eactive%3Ahover%2Cbutton%2Elist%2Dgroup%2Ditem%2Dsuccess%2Eactive%2Cbutton%2Elist%2Dgroup%2Ditem%2Dsuccess%2Eactive%3Afocus%2Cbutton%2Elist%2Dgroup%2Ditem%2Dsuccess%2Eactive%3Ahover%7Bcolor%3A%23fff%3Bbackground%2Dcolor%3A%233c763d%3Bborder%2Dcolor%3A%233c763d%7D%2Elist%2Dgroup%2Ditem%2Dinfo%7Bcolor%3A%2331708f%3Bbackground%2Dcolor%3A%23d9edf7%7Da%2Elist%2Dgroup%2Ditem%2Dinfo%2Cbutton%2Elist%2Dgroup%2Ditem%2Dinfo%7Bcolor%3A%2331708f%7Da%2Elist%2Dgroup%2Ditem%2Dinfo%20%2Elist%2Dgroup%2Ditem%2Dheading%2Cbutton%2Elist%2Dgroup%2Ditem%2Dinfo%20%2Elist%2Dgroup%2Ditem%2Dheading%7Bcolor%3Ainherit%7Da%2Elist%2Dgroup%2Ditem%2Dinfo%3Afocus%2Ca%2Elist%2Dgroup%2Ditem%2Dinfo%3Ahover%2Cbutton%2Elist%2Dgroup%2Ditem%2Dinfo%3Afocus%2Cbutton%2Elist%2Dgroup%2Ditem%2Dinfo%3Ahover%7Bcolor%3A%2331708f%3Bbackground%2Dcolor%3A%23c4e3f3%7Da%2Elist%2Dgroup%2Ditem%2Dinfo%2Eactive%2Ca%2Elist%2Dgroup%2Ditem%2Dinfo%2Eactive%3Afocus%2Ca%2Elist%2Dgroup%2Ditem%2Dinfo%2Eactive%3Ahover%2Cbutton%2Elist%2Dgroup%2Ditem%2Dinfo%2Eactive%2Cbutton%2Elist%2Dgroup%2Ditem%2Dinfo%2Eactive%3Afocus%2Cbutton%2Elist%2Dgroup%2Ditem%2Dinfo%2Eactive%3Ahover%7Bcolor%3A%23fff%3Bbackground%2Dcolor%3A%2331708f%3Bborder%2Dcolor%3A%2331708f%7D%2Elist%2Dgroup%2Ditem%2Dwarning%7Bcolor%3A%238a6d3b%3Bbackground%2Dcolor%3A%23fcf8e3%7Da%2Elist%2Dgroup%2Ditem%2Dwarning%2Cbutton%2Elist%2Dgroup%2Ditem%2Dwarning%7Bcolor%3A%238a6d3b%7Da%2Elist%2Dgroup%2Ditem%2Dwarning%20%2Elist%2Dgroup%2Ditem%2Dheading%2Cbutton%2Elist%2Dgroup%2Ditem%2Dwarning%20%2Elist%2Dgroup%2Ditem%2Dheading%7Bcolor%3Ainherit%7Da%2Elist%2Dgroup%2Ditem%2Dwarning%3Afocus%2Ca%2Elist%2Dgroup%2Ditem%2Dwarning%3Ahover%2Cbutton%2Elist%2Dgroup%2Ditem%2Dwarning%3Afocus%2Cbutton%2Elist%2Dgroup%2Ditem%2Dwarning%3Ahover%7Bcolor%3A%238a6d3b%3Bbackground%2Dcolor%3A%23faf2cc%7Da%2Elist%2Dgroup%2Ditem%2Dwarning%2Eactive%2Ca%2Elist%2Dgroup%2Ditem%2Dwarning%2Eactive%3Afocus%2Ca%2Elist%2Dgroup%2Ditem%2Dwarning%2Eactive%3Ahover%2Cbutton%2Elist%2Dgroup%2Ditem%2Dwarning%2Eactive%2Cbutton%2Elist%2Dgroup%2Ditem%2Dwarning%2Eactive%3Afocus%2Cbutton%2Elist%2Dgroup%2Ditem%2Dwarning%2Eactive%3Ahover%7Bcolor%3A%23fff%3Bbackground%2Dcolor%3A%238a6d3b%3Bborder%2Dcolor%3A%238a6d3b%7D%2Elist%2Dgroup%2Ditem%2Ddanger%7Bcolor%3A%23a94442%3Bbackground%2Dcolor%3A%23f2dede%7Da%2Elist%2Dgroup%2Ditem%2Ddanger%2Cbutton%2Elist%2Dgroup%2Ditem%2Ddanger%7Bcolor%3A%23a94442%7Da%2Elist%2Dgroup%2Ditem%2Ddanger%20%2Elist%2Dgroup%2Ditem%2Dheading%2Cbutton%2Elist%2Dgroup%2Ditem%2Ddanger%20%2Elist%2Dgroup%2Ditem%2Dheading%7Bcolor%3Ainherit%7Da%2Elist%2Dgroup%2Ditem%2Ddanger%3Afocus%2Ca%2Elist%2Dgroup%2Ditem%2Ddanger%3Ahover%2Cbutton%2Elist%2Dgroup%2Ditem%2Ddanger%3Afocus%2Cbutton%2Elist%2Dgroup%2Ditem%2Ddanger%3Ahover%7Bcolor%3A%23a94442%3Bbackground%2Dcolor%3A%23ebcccc%7Da%2Elist%2Dgroup%2Ditem%2Ddanger%2Eactive%2Ca%2Elist%2Dgroup%2Ditem%2Ddanger%2Eactive%3Afocus%2Ca%2Elist%2Dgroup%2Ditem%2Ddanger%2Eactive%3Ahover%2Cbutton%2Elist%2Dgroup%2Ditem%2Ddanger%2Eactive%2Cbutton%2Elist%2Dgroup%2Ditem%2Ddanger%2Eactive%3Afocus%2Cbutton%2Elist%2Dgroup%2Ditem%2Ddanger%2Eactive%3Ahover%7Bcolor%3A%23fff%3Bbackground%2Dcolor%3A%23a94442%3Bborder%2Dcolor%3A%23a94442%7D%2Elist%2Dgroup%2Ditem%2Dheading%7Bmargin%2Dtop%3A0%3Bmargin%2Dbottom%3A5px%7D%2Elist%2Dgroup%2Ditem%2Dtext%7Bmargin%2Dbottom%3A0%3Bline%2Dheight%3A1%2E3%7D%2Epanel%7Bmargin%2Dbottom%3A20px%3Bbackground%2Dcolor%3A%23fff%3Bborder%3A1px%20solid%20transparent%3Bborder%2Dradius%3A4px%3B%2Dwebkit%2Dbox%2Dshadow%3A0%201px%201px%20rgba%280%2C0%2C0%2C%2E05%29%3Bbox%2Dshadow%3A0%201px%201px%20rgba%280%2C0%2C0%2C%2E05%29%7D%2Epanel%2Dbody%7Bpadding%3A15px%7D%2Epanel%2Dheading%7Bpadding%3A10px%2015px%3Bborder%2Dbottom%3A1px%20solid%20transparent%3Bborder%2Dtop%2Dleft%2Dradius%3A3px%3Bborder%2Dtop%2Dright%2Dradius%3A3px%7D%2Epanel%2Dheading%3E%2Edropdown%20%2Edropdown%2Dtoggle%7Bcolor%3Ainherit%7D%2Epanel%2Dtitle%7Bmargin%2Dtop%3A0%3Bmargin%2Dbottom%3A0%3Bfont%2Dsize%3A16px%3Bcolor%3Ainherit%7D%2Epanel%2Dtitle%3E%2Esmall%2C%2Epanel%2Dtitle%3E%2Esmall%3Ea%2C%2Epanel%2Dtitle%3Ea%2C%2Epanel%2Dtitle%3Esmall%2C%2Epanel%2Dtitle%3Esmall%3Ea%7Bcolor%3Ainherit%7D%2Epanel%2Dfooter%7Bpadding%3A10px%2015px%3Bbackground%2Dcolor%3A%23f5f5f5%3Bborder%2Dtop%3A1px%20solid%20%23ddd%3Bborder%2Dbottom%2Dright%2Dradius%3A3px%3Bborder%2Dbottom%2Dleft%2Dradius%3A3px%7D%2Epanel%3E%2Elist%2Dgroup%2C%2Epanel%3E%2Epanel%2Dcollapse%3E%2Elist%2Dgroup%7Bmargin%2Dbottom%3A0%7D%2Epanel%3E%2Elist%2Dgroup%20%2Elist%2Dgroup%2Ditem%2C%2Epanel%3E%2Epanel%2Dcollapse%3E%2Elist%2Dgroup%20%2Elist%2Dgroup%2Ditem%7Bborder%2Dwidth%3A1px%200%3Bborder%2Dradius%3A0%7D%2Epanel%3E%2Elist%2Dgroup%3Afirst%2Dchild%20%2Elist%2Dgroup%2Ditem%3Afirst%2Dchild%2C%2Epanel%3E%2Epanel%2Dcollapse%3E%2Elist%2Dgroup%3Afirst%2Dchild%20%2Elist%2Dgroup%2Ditem%3Afirst%2Dchild%7Bborder%2Dtop%3A0%3Bborder%2Dtop%2Dleft%2Dradius%3A3px%3Bborder%2Dtop%2Dright%2Dradius%3A3px%7D%2Epanel%3E%2Elist%2Dgroup%3Alast%2Dchild%20%2Elist%2Dgroup%2Ditem%3Alast%2Dchild%2C%2Epanel%3E%2Epanel%2Dcollapse%3E%2Elist%2Dgroup%3Alast%2Dchild%20%2Elist%2Dgroup%2Ditem%3Alast%2Dchild%7Bborder%2Dbottom%3A0%3Bborder%2Dbottom%2Dright%2Dradius%3A3px%3Bborder%2Dbottom%2Dleft%2Dradius%3A3px%7D%2Epanel%3E%2Epanel%2Dheading%2B%2Epanel%2Dcollapse%3E%2Elist%2Dgroup%20%2Elist%2Dgroup%2Ditem%3Afirst%2Dchild%7Bborder%2Dtop%2Dleft%2Dradius%3A0%3Bborder%2Dtop%2Dright%2Dradius%3A0%7D%2Epanel%2Dheading%2B%2Elist%2Dgroup%20%2Elist%2Dgroup%2Ditem%3Afirst%2Dchild%7Bborder%2Dtop%2Dwidth%3A0%7D%2Elist%2Dgroup%2B%2Epanel%2Dfooter%7Bborder%2Dtop%2Dwidth%3A0%7D%2Epanel%3E%2Epanel%2Dcollapse%3E%2Etable%2C%2Epanel%3E%2Etable%2C%2Epanel%3E%2Etable%2Dresponsive%3E%2Etable%7Bmargin%2Dbottom%3A0%7D%2Epanel%3E%2Epanel%2Dcollapse%3E%2Etable%20caption%2C%2Epanel%3E%2Etable%20caption%2C%2Epanel%3E%2Etable%2Dresponsive%3E%2Etable%20caption%7Bpadding%2Dright%3A15px%3Bpadding%2Dleft%3A15px%7D%2Epanel%3E%2Etable%2Dresponsive%3Afirst%2Dchild%3E%2Etable%3Afirst%2Dchild%2C%2Epanel%3E%2Etable%3Afirst%2Dchild%7Bborder%2Dtop%2Dleft%2Dradius%3A3px%3Bborder%2Dtop%2Dright%2Dradius%3A3px%7D%2Epanel%3E%2Etable%2Dresponsive%3Afirst%2Dchild%3E%2Etable%3Afirst%2Dchild%3Etbody%3Afirst%2Dchild%3Etr%3Afirst%2Dchild%2C%2Epanel%3E%2Etable%2Dresponsive%3Afirst%2Dchild%3E%2Etable%3Afirst%2Dchild%3Ethead%3Afirst%2Dchild%3Etr%3Afirst%2Dchild%2C%2Epanel%3E%2Etable%3Afirst%2Dchild%3Etbody%3Afirst%2Dchild%3Etr%3Afirst%2Dchild%2C%2Epanel%3E%2Etable%3Afirst%2Dchild%3Ethead%3Afirst%2Dchild%3Etr%3Afirst%2Dchild%7Bborder%2Dtop%2Dleft%2Dradius%3A3px%3Bborder%2Dtop%2Dright%2Dradius%3A3px%7D%2Epanel%3E%2Etable%2Dresponsive%3Afirst%2Dchild%3E%2Etable%3Afirst%2Dchild%3Etbody%3Afirst%2Dchild%3Etr%3Afirst%2Dchild%20td%3Afirst%2Dchild%2C%2Epanel%3E%2Etable%2Dresponsive%3Afirst%2Dchild%3E%2Etable%3Afirst%2Dchild%3Etbody%3Afirst%2Dchild%3Etr%3Afirst%2Dchild%20th%3Afirst%2Dchild%2C%2Epanel%3E%2Etable%2Dresponsive%3Afirst%2Dchild%3E%2Etable%3Afirst%2Dchild%3Ethead%3Afirst%2Dchild%3Etr%3Afirst%2Dchild%20td%3Afirst%2Dchild%2C%2Epanel%3E%2Etable%2Dresponsive%3Afirst%2Dchild%3E%2Etable%3Afirst%2Dchild%3Ethead%3Afirst%2Dchild%3Etr%3Afirst%2Dchild%20th%3Afirst%2Dchild%2C%2Epanel%3E%2Etable%3Afirst%2Dchild%3Etbody%3Afirst%2Dchild%3Etr%3Afirst%2Dchild%20td%3Afirst%2Dchild%2C%2Epanel%3E%2Etable%3Afirst%2Dchild%3Etbody%3Afirst%2Dchild%3Etr%3Afirst%2Dchild%20th%3Afirst%2Dchild%2C%2Epanel%3E%2Etable%3Afirst%2Dchild%3Ethead%3Afirst%2Dchild%3Etr%3Afirst%2Dchild%20td%3Afirst%2Dchild%2C%2Epanel%3E%2Etable%3Afirst%2Dchild%3Ethead%3Afirst%2Dchild%3Etr%3Afirst%2Dchild%20th%3Afirst%2Dchild%7Bborder%2Dtop%2Dleft%2Dradius%3A3px%7D%2Epanel%3E%2Etable%2Dresponsive%3Afirst%2Dchild%3E%2Etable%3Afirst%2Dchild%3Etbody%3Afirst%2Dchild%3Etr%3Afirst%2Dchild%20td%3Alast%2Dchild%2C%2Epanel%3E%2Etable%2Dresponsive%3Afirst%2Dchild%3E%2Etable%3Afirst%2Dchild%3Etbody%3Afirst%2Dchild%3Etr%3Afirst%2Dchild%20th%3Alast%2Dchild%2C%2Epanel%3E%2Etable%2Dresponsive%3Afirst%2Dchild%3E%2Etable%3Afirst%2Dchild%3Ethead%3Afirst%2Dchild%3Etr%3Afirst%2Dchild%20td%3Alast%2Dchild%2C%2Epanel%3E%2Etable%2Dresponsive%3Afirst%2Dchild%3E%2Etable%3Afirst%2Dchild%3Ethead%3Afirst%2Dchild%3Etr%3Afirst%2Dchild%20th%3Alast%2Dchild%2C%2Epanel%3E%2Etable%3Afirst%2Dchild%3Etbody%3Afirst%2Dchild%3Etr%3Afirst%2Dchild%20td%3Alast%2Dchild%2C%2Epanel%3E%2Etable%3Afirst%2Dchild%3Etbody%3Afirst%2Dchild%3Etr%3Afirst%2Dchild%20th%3Alast%2Dchild%2C%2Epanel%3E%2Etable%3Afirst%2Dchild%3Ethead%3Afirst%2Dchild%3Etr%3Afirst%2Dchild%20td%3Alast%2Dchild%2C%2Epanel%3E%2Etable%3Afirst%2Dchild%3Ethead%3Afirst%2Dchild%3Etr%3Afirst%2Dchild%20th%3Alast%2Dchild%7Bborder%2Dtop%2Dright%2Dradius%3A3px%7D%2Epanel%3E%2Etable%2Dresponsive%3Alast%2Dchild%3E%2Etable%3Alast%2Dchild%2C%2Epanel%3E%2Etable%3Alast%2Dchild%7Bborder%2Dbottom%2Dright%2Dradius%3A3px%3Bborder%2Dbottom%2Dleft%2Dradius%3A3px%7D%2Epanel%3E%2Etable%2Dresponsive%3Alast%2Dchild%3E%2Etable%3Alast%2Dchild%3Etbody%3Alast%2Dchild%3Etr%3Alast%2Dchild%2C%2Epanel%3E%2Etable%2Dresponsive%3Alast%2Dchild%3E%2Etable%3Alast%2Dchild%3Etfoot%3Alast%2Dchild%3Etr%3Alast%2Dchild%2C%2Epanel%3E%2Etable%3Alast%2Dchild%3Etbody%3Alast%2Dchild%3Etr%3Alast%2Dchild%2C%2Epanel%3E%2Etable%3Alast%2Dchild%3Etfoot%3Alast%2Dchild%3Etr%3Alast%2Dchild%7Bborder%2Dbottom%2Dright%2Dradius%3A3px%3Bborder%2Dbottom%2Dleft%2Dradius%3A3px%7D%2Epanel%3E%2Etable%2Dresponsive%3Alast%2Dchild%3E%2Etable%3Alast%2Dchild%3Etbody%3Alast%2Dchild%3Etr%3Alast%2Dchild%20td%3Afirst%2Dchild%2C%2Epanel%3E%2Etable%2Dresponsive%3Alast%2Dchild%3E%2Etable%3Alast%2Dchild%3Etbody%3Alast%2Dchild%3Etr%3Alast%2Dchild%20th%3Afirst%2Dchild%2C%2Epanel%3E%2Etable%2Dresponsive%3Alast%2Dchild%3E%2Etable%3Alast%2Dchild%3Etfoot%3Alast%2Dchild%3Etr%3Alast%2Dchild%20td%3Afirst%2Dchild%2C%2Epanel%3E%2Etable%2Dresponsive%3Alast%2Dchild%3E%2Etable%3Alast%2Dchild%3Etfoot%3Alast%2Dchild%3Etr%3Alast%2Dchild%20th%3Afirst%2Dchild%2C%2Epanel%3E%2Etable%3Alast%2Dchild%3Etbody%3Alast%2Dchild%3Etr%3Alast%2Dchild%20td%3Afirst%2Dchild%2C%2Epanel%3E%2Etable%3Alast%2Dchild%3Etbody%3Alast%2Dchild%3Etr%3Alast%2Dchild%20th%3Afirst%2Dchild%2C%2Epanel%3E%2Etable%3Alast%2Dchild%3Etfoot%3Alast%2Dchild%3Etr%3Alast%2Dchild%20td%3Afirst%2Dchild%2C%2Epanel%3E%2Etable%3Alast%2Dchild%3Etfoot%3Alast%2Dchild%3Etr%3Alast%2Dchild%20th%3Afirst%2Dchild%7Bborder%2Dbottom%2Dleft%2Dradius%3A3px%7D%2Epanel%3E%2Etable%2Dresponsive%3Alast%2Dchild%3E%2Etable%3Alast%2Dchild%3Etbody%3Alast%2Dchild%3Etr%3Alast%2Dchild%20td%3Alast%2Dchild%2C%2Epanel%3E%2Etable%2Dresponsive%3Alast%2Dchild%3E%2Etable%3Alast%2Dchild%3Etbody%3Alast%2Dchild%3Etr%3Alast%2Dchild%20th%3Alast%2Dchild%2C%2Epanel%3E%2Etable%2Dresponsive%3Alast%2Dchild%3E%2Etable%3Alast%2Dchild%3Etfoot%3Alast%2Dchild%3Etr%3Alast%2Dchild%20td%3Alast%2Dchild%2C%2Epanel%3E%2Etable%2Dresponsive%3Alast%2Dchild%3E%2Etable%3Alast%2Dchild%3Etfoot%3Alast%2Dchild%3Etr%3Alast%2Dchild%20th%3Alast%2Dchild%2C%2Epanel%3E%2Etable%3Alast%2Dchild%3Etbody%3Alast%2Dchild%3Etr%3Alast%2Dchild%20td%3Alast%2Dchild%2C%2Epanel%3E%2Etable%3Alast%2Dchild%3Etbody%3Alast%2Dchild%3Etr%3Alast%2Dchild%20th%3Alast%2Dchild%2C%2Epanel%3E%2Etable%3Alast%2Dchild%3Etfoot%3Alast%2Dchild%3Etr%3Alast%2Dchild%20td%3Alast%2Dchild%2C%2Epanel%3E%2Etable%3Alast%2Dchild%3Etfoot%3Alast%2Dchild%3Etr%3Alast%2Dchild%20th%3Alast%2Dchild%7Bborder%2Dbottom%2Dright%2Dradius%3A3px%7D%2Epanel%3E%2Epanel%2Dbody%2B%2Etable%2C%2Epanel%3E%2Epanel%2Dbody%2B%2Etable%2Dresponsive%2C%2Epanel%3E%2Etable%2B%2Epanel%2Dbody%2C%2Epanel%3E%2Etable%2Dresponsive%2B%2Epanel%2Dbody%7Bborder%2Dtop%3A1px%20solid%20%23ddd%7D%2Epanel%3E%2Etable%3Etbody%3Afirst%2Dchild%3Etr%3Afirst%2Dchild%20td%2C%2Epanel%3E%2Etable%3Etbody%3Afirst%2Dchild%3Etr%3Afirst%2Dchild%20th%7Bborder%2Dtop%3A0%7D%2Epanel%3E%2Etable%2Dbordered%2C%2Epanel%3E%2Etable%2Dresponsive%3E%2Etable%2Dbordered%7Bborder%3A0%7D%2Epanel%3E%2Etable%2Dbordered%3Etbody%3Etr%3Etd%3Afirst%2Dchild%2C%2Epanel%3E%2Etable%2Dbordered%3Etbody%3Etr%3Eth%3Afirst%2Dchild%2C%2Epanel%3E%2Etable%2Dbordered%3Etfoot%3Etr%3Etd%3Afirst%2Dchild%2C%2Epanel%3E%2Etable%2Dbordered%3Etfoot%3Etr%3Eth%3Afirst%2Dchild%2C%2Epanel%3E%2Etable%2Dbordered%3Ethead%3Etr%3Etd%3Afirst%2Dchild%2C%2Epanel%3E%2Etable%2Dbordered%3Ethead%3Etr%3Eth%3Afirst%2Dchild%2C%2Epanel%3E%2Etable%2Dresponsive%3E%2Etable%2Dbordered%3Etbody%3Etr%3Etd%3Afirst%2Dchild%2C%2Epanel%3E%2Etable%2Dresponsive%3E%2Etable%2Dbordered%3Etbody%3Etr%3Eth%3Afirst%2Dchild%2C%2Epanel%3E%2Etable%2Dresponsive%3E%2Etable%2Dbordered%3Etfoot%3Etr%3Etd%3Afirst%2Dchild%2C%2Epanel%3E%2Etable%2Dresponsive%3E%2Etable%2Dbordered%3Etfoot%3Etr%3Eth%3Afirst%2Dchild%2C%2Epanel%3E%2Etable%2Dresponsive%3E%2Etable%2Dbordered%3Ethead%3Etr%3Etd%3Afirst%2Dchild%2C%2Epanel%3E%2Etable%2Dresponsive%3E%2Etable%2Dbordered%3Ethead%3Etr%3Eth%3Afirst%2Dchild%7Bborder%2Dleft%3A0%7D%2Epanel%3E%2Etable%2Dbordered%3Etbody%3Etr%3Etd%3Alast%2Dchild%2C%2Epanel%3E%2Etable%2Dbordered%3Etbody%3Etr%3Eth%3Alast%2Dchild%2C%2Epanel%3E%2Etable%2Dbordered%3Etfoot%3Etr%3Etd%3Alast%2Dchild%2C%2Epanel%3E%2Etable%2Dbordered%3Etfoot%3Etr%3Eth%3Alast%2Dchild%2C%2Epanel%3E%2Etable%2Dbordered%3Ethead%3Etr%3Etd%3Alast%2Dchild%2C%2Epanel%3E%2Etable%2Dbordered%3Ethead%3Etr%3Eth%3Alast%2Dchild%2C%2Epanel%3E%2Etable%2Dresponsive%3E%2Etable%2Dbordered%3Etbody%3Etr%3Etd%3Alast%2Dchild%2C%2Epanel%3E%2Etable%2Dresponsive%3E%2Etable%2Dbordered%3Etbody%3Etr%3Eth%3Alast%2Dchild%2C%2Epanel%3E%2Etable%2Dresponsive%3E%2Etable%2Dbordered%3Etfoot%3Etr%3Etd%3Alast%2Dchild%2C%2Epanel%3E%2Etable%2Dresponsive%3E%2Etable%2Dbordered%3Etfoot%3Etr%3Eth%3Alast%2Dchild%2C%2Epanel%3E%2Etable%2Dresponsive%3E%2Etable%2Dbordered%3Ethead%3Etr%3Etd%3Alast%2Dchild%2C%2Epanel%3E%2Etable%2Dresponsive%3E%2Etable%2Dbordered%3Ethead%3Etr%3Eth%3Alast%2Dchild%7Bborder%2Dright%3A0%7D%2Epanel%3E%2Etable%2Dbordered%3Etbody%3Etr%3Afirst%2Dchild%3Etd%2C%2Epanel%3E%2Etable%2Dbordered%3Etbody%3Etr%3Afirst%2Dchild%3Eth%2C%2Epanel%3E%2Etable%2Dbordered%3Ethead%3Etr%3Afirst%2Dchild%3Etd%2C%2Epanel%3E%2Etable%2Dbordered%3Ethead%3Etr%3Afirst%2Dchild%3Eth%2C%2Epanel%3E%2Etable%2Dresponsive%3E%2Etable%2Dbordered%3Etbody%3Etr%3Afirst%2Dchild%3Etd%2C%2Epanel%3E%2Etable%2Dresponsive%3E%2Etable%2Dbordered%3Etbody%3Etr%3Afirst%2Dchild%3Eth%2C%2Epanel%3E%2Etable%2Dresponsive%3E%2Etable%2Dbordered%3Ethead%3Etr%3Afirst%2Dchild%3Etd%2C%2Epanel%3E%2Etable%2Dresponsive%3E%2Etable%2Dbordered%3Ethead%3Etr%3Afirst%2Dchild%3Eth%7Bborder%2Dbottom%3A0%7D%2Epanel%3E%2Etable%2Dbordered%3Etbody%3Etr%3Alast%2Dchild%3Etd%2C%2Epanel%3E%2Etable%2Dbordered%3Etbody%3Etr%3Alast%2Dchild%3Eth%2C%2Epanel%3E%2Etable%2Dbordered%3Etfoot%3Etr%3Alast%2Dchild%3Etd%2C%2Epanel%3E%2Etable%2Dbordered%3Etfoot%3Etr%3Alast%2Dchild%3Eth%2C%2Epanel%3E%2Etable%2Dresponsive%3E%2Etable%2Dbordered%3Etbody%3Etr%3Alast%2Dchild%3Etd%2C%2Epanel%3E%2Etable%2Dresponsive%3E%2Etable%2Dbordered%3Etbody%3Etr%3Alast%2Dchild%3Eth%2C%2Epanel%3E%2Etable%2Dresponsive%3E%2Etable%2Dbordered%3Etfoot%3Etr%3Alast%2Dchild%3Etd%2C%2Epanel%3E%2Etable%2Dresponsive%3E%2Etable%2Dbordered%3Etfoot%3Etr%3Alast%2Dchild%3Eth%7Bborder%2Dbottom%3A0%7D%2Epanel%3E%2Etable%2Dresponsive%7Bmargin%2Dbottom%3A0%3Bborder%3A0%7D%2Epanel%2Dgroup%7Bmargin%2Dbottom%3A20px%7D%2Epanel%2Dgroup%20%2Epanel%7Bmargin%2Dbottom%3A0%3Bborder%2Dradius%3A4px%7D%2Epanel%2Dgroup%20%2Epanel%2B%2Epanel%7Bmargin%2Dtop%3A5px%7D%2Epanel%2Dgroup%20%2Epanel%2Dheading%7Bborder%2Dbottom%3A0%7D%2Epanel%2Dgroup%20%2Epanel%2Dheading%2B%2Epanel%2Dcollapse%3E%2Elist%2Dgroup%2C%2Epanel%2Dgroup%20%2Epanel%2Dheading%2B%2Epanel%2Dcollapse%3E%2Epanel%2Dbody%7Bborder%2Dtop%3A1px%20solid%20%23ddd%7D%2Epanel%2Dgroup%20%2Epanel%2Dfooter%7Bborder%2Dtop%3A0%7D%2Epanel%2Dgroup%20%2Epanel%2Dfooter%2B%2Epanel%2Dcollapse%20%2Epanel%2Dbody%7Bborder%2Dbottom%3A1px%20solid%20%23ddd%7D%2Epanel%2Ddefault%7Bborder%2Dcolor%3A%23ddd%7D%2Epanel%2Ddefault%3E%2Epanel%2Dheading%7Bcolor%3A%23333%3Bbackground%2Dcolor%3A%23f5f5f5%3Bborder%2Dcolor%3A%23ddd%7D%2Epanel%2Ddefault%3E%2Epanel%2Dheading%2B%2Epanel%2Dcollapse%3E%2Epanel%2Dbody%7Bborder%2Dtop%2Dcolor%3A%23ddd%7D%2Epanel%2Ddefault%3E%2Epanel%2Dheading%20%2Ebadge%7Bcolor%3A%23f5f5f5%3Bbackground%2Dcolor%3A%23333%7D%2Epanel%2Ddefault%3E%2Epanel%2Dfooter%2B%2Epanel%2Dcollapse%3E%2Epanel%2Dbody%7Bborder%2Dbottom%2Dcolor%3A%23ddd%7D%2Epanel%2Dprimary%7Bborder%2Dcolor%3A%23337ab7%7D%2Epanel%2Dprimary%3E%2Epanel%2Dheading%7Bcolor%3A%23fff%3Bbackground%2Dcolor%3A%23337ab7%3Bborder%2Dcolor%3A%23337ab7%7D%2Epanel%2Dprimary%3E%2Epanel%2Dheading%2B%2Epanel%2Dcollapse%3E%2Epanel%2Dbody%7Bborder%2Dtop%2Dcolor%3A%23337ab7%7D%2Epanel%2Dprimary%3E%2Epanel%2Dheading%20%2Ebadge%7Bcolor%3A%23337ab7%3Bbackground%2Dcolor%3A%23fff%7D%2Epanel%2Dprimary%3E%2Epanel%2Dfooter%2B%2Epanel%2Dcollapse%3E%2Epanel%2Dbody%7Bborder%2Dbottom%2Dcolor%3A%23337ab7%7D%2Epanel%2Dsuccess%7Bborder%2Dcolor%3A%23d6e9c6%7D%2Epanel%2Dsuccess%3E%2Epanel%2Dheading%7Bcolor%3A%233c763d%3Bbackground%2Dcolor%3A%23dff0d8%3Bborder%2Dcolor%3A%23d6e9c6%7D%2Epanel%2Dsuccess%3E%2Epanel%2Dheading%2B%2Epanel%2Dcollapse%3E%2Epanel%2Dbody%7Bborder%2Dtop%2Dcolor%3A%23d6e9c6%7D%2Epanel%2Dsuccess%3E%2Epanel%2Dheading%20%2Ebadge%7Bcolor%3A%23dff0d8%3Bbackground%2Dcolor%3A%233c763d%7D%2Epanel%2Dsuccess%3E%2Epanel%2Dfooter%2B%2Epanel%2Dcollapse%3E%2Epanel%2Dbody%7Bborder%2Dbottom%2Dcolor%3A%23d6e9c6%7D%2Epanel%2Dinfo%7Bborder%2Dcolor%3A%23bce8f1%7D%2Epanel%2Dinfo%3E%2Epanel%2Dheading%7Bcolor%3A%2331708f%3Bbackground%2Dcolor%3A%23d9edf7%3Bborder%2Dcolor%3A%23bce8f1%7D%2Epanel%2Dinfo%3E%2Epanel%2Dheading%2B%2Epanel%2Dcollapse%3E%2Epanel%2Dbody%7Bborder%2Dtop%2Dcolor%3A%23bce8f1%7D%2Epanel%2Dinfo%3E%2Epanel%2Dheading%20%2Ebadge%7Bcolor%3A%23d9edf7%3Bbackground%2Dcolor%3A%2331708f%7D%2Epanel%2Dinfo%3E%2Epanel%2Dfooter%2B%2Epanel%2Dcollapse%3E%2Epanel%2Dbody%7Bborder%2Dbottom%2Dcolor%3A%23bce8f1%7D%2Epanel%2Dwarning%7Bborder%2Dcolor%3A%23faebcc%7D%2Epanel%2Dwarning%3E%2Epanel%2Dheading%7Bcolor%3A%238a6d3b%3Bbackground%2Dcolor%3A%23fcf8e3%3Bborder%2Dcolor%3A%23faebcc%7D%2Epanel%2Dwarning%3E%2Epanel%2Dheading%2B%2Epanel%2Dcollapse%3E%2Epanel%2Dbody%7Bborder%2Dtop%2Dcolor%3A%23faebcc%7D%2Epanel%2Dwarning%3E%2Epanel%2Dheading%20%2Ebadge%7Bcolor%3A%23fcf8e3%3Bbackground%2Dcolor%3A%238a6d3b%7D%2Epanel%2Dwarning%3E%2Epanel%2Dfooter%2B%2Epanel%2Dcollapse%3E%2Epanel%2Dbody%7Bborder%2Dbottom%2Dcolor%3A%23faebcc%7D%2Epanel%2Ddanger%7Bborder%2Dcolor%3A%23ebccd1%7D%2Epanel%2Ddanger%3E%2Epanel%2Dheading%7Bcolor%3A%23a94442%3Bbackground%2Dcolor%3A%23f2dede%3Bborder%2Dcolor%3A%23ebccd1%7D%2Epanel%2Ddanger%3E%2Epanel%2Dheading%2B%2Epanel%2Dcollapse%3E%2Epanel%2Dbody%7Bborder%2Dtop%2Dcolor%3A%23ebccd1%7D%2Epanel%2Ddanger%3E%2Epanel%2Dheading%20%2Ebadge%7Bcolor%3A%23f2dede%3Bbackground%2Dcolor%3A%23a94442%7D%2Epanel%2Ddanger%3E%2Epanel%2Dfooter%2B%2Epanel%2Dcollapse%3E%2Epanel%2Dbody%7Bborder%2Dbottom%2Dcolor%3A%23ebccd1%7D%2Eembed%2Dresponsive%7Bposition%3Arelative%3Bdisplay%3Ablock%3Bheight%3A0%3Bpadding%3A0%3Boverflow%3Ahidden%7D%2Eembed%2Dresponsive%20%2Eembed%2Dresponsive%2Ditem%2C%2Eembed%2Dresponsive%20embed%2C%2Eembed%2Dresponsive%20iframe%2C%2Eembed%2Dresponsive%20object%2C%2Eembed%2Dresponsive%20video%7Bposition%3Aabsolute%3Btop%3A0%3Bbottom%3A0%3Bleft%3A0%3Bwidth%3A100%25%3Bheight%3A100%25%3Bborder%3A0%7D%2Eembed%2Dresponsive%2D16by9%7Bpadding%2Dbottom%3A56%2E25%25%7D%2Eembed%2Dresponsive%2D4by3%7Bpadding%2Dbottom%3A75%25%7D%2Ewell%7Bmin%2Dheight%3A20px%3Bpadding%3A19px%3Bmargin%2Dbottom%3A20px%3Bbackground%2Dcolor%3A%23f5f5f5%3Bborder%3A1px%20solid%20%23e3e3e3%3Bborder%2Dradius%3A4px%3B%2Dwebkit%2Dbox%2Dshadow%3Ainset%200%201px%201px%20rgba%280%2C0%2C0%2C%2E05%29%3Bbox%2Dshadow%3Ainset%200%201px%201px%20rgba%280%2C0%2C0%2C%2E05%29%7D%2Ewell%20blockquote%7Bborder%2Dcolor%3A%23ddd%3Bborder%2Dcolor%3Argba%280%2C0%2C0%2C%2E15%29%7D%2Ewell%2Dlg%7Bpadding%3A24px%3Bborder%2Dradius%3A6px%7D%2Ewell%2Dsm%7Bpadding%3A9px%3Bborder%2Dradius%3A3px%7D%2Eclose%7Bfloat%3Aright%3Bfont%2Dsize%3A21px%3Bfont%2Dweight%3A700%3Bline%2Dheight%3A1%3Bcolor%3A%23000%3Btext%2Dshadow%3A0%201px%200%20%23fff%3Bfilter%3Aalpha%28opacity%3D20%29%3Bopacity%3A%2E2%7D%2Eclose%3Afocus%2C%2Eclose%3Ahover%7Bcolor%3A%23000%3Btext%2Ddecoration%3Anone%3Bcursor%3Apointer%3Bfilter%3Aalpha%28opacity%3D50%29%3Bopacity%3A%2E5%7Dbutton%2Eclose%7B%2Dwebkit%2Dappearance%3Anone%3Bpadding%3A0%3Bcursor%3Apointer%3Bbackground%3A0%200%3Bborder%3A0%7D%2Emodal%2Dopen%7Boverflow%3Ahidden%7D%2Emodal%7Bposition%3Afixed%3Btop%3A0%3Bright%3A0%3Bbottom%3A0%3Bleft%3A0%3Bz%2Dindex%3A1050%3Bdisplay%3Anone%3Boverflow%3Ahidden%3B%2Dwebkit%2Doverflow%2Dscrolling%3Atouch%3Boutline%3A0%7D%2Emodal%2Efade%20%2Emodal%2Ddialog%7B%2Dwebkit%2Dtransition%3A%2Dwebkit%2Dtransform%20%2E3s%20ease%2Dout%3B%2Do%2Dtransition%3A%2Do%2Dtransform%20%2E3s%20ease%2Dout%3Btransition%3Atransform%20%2E3s%20ease%2Dout%3B%2Dwebkit%2Dtransform%3Atranslate%280%2C%2D25%25%29%3B%2Dms%2Dtransform%3Atranslate%280%2C%2D25%25%29%3B%2Do%2Dtransform%3Atranslate%280%2C%2D25%25%29%3Btransform%3Atranslate%280%2C%2D25%25%29%7D%2Emodal%2Ein%20%2Emodal%2Ddialog%7B%2Dwebkit%2Dtransform%3Atranslate%280%2C0%29%3B%2Dms%2Dtransform%3Atranslate%280%2C0%29%3B%2Do%2Dtransform%3Atranslate%280%2C0%29%3Btransform%3Atranslate%280%2C0%29%7D%2Emodal%2Dopen%20%2Emodal%7Boverflow%2Dx%3Ahidden%3Boverflow%2Dy%3Aauto%7D%2Emodal%2Ddialog%7Bposition%3Arelative%3Bwidth%3Aauto%3Bmargin%3A10px%7D%2Emodal%2Dcontent%7Bposition%3Arelative%3Bbackground%2Dcolor%3A%23fff%3B%2Dwebkit%2Dbackground%2Dclip%3Apadding%2Dbox%3Bbackground%2Dclip%3Apadding%2Dbox%3Bborder%3A1px%20solid%20%23999%3Bborder%3A1px%20solid%20rgba%280%2C0%2C0%2C%2E2%29%3Bborder%2Dradius%3A6px%3Boutline%3A0%3B%2Dwebkit%2Dbox%2Dshadow%3A0%203px%209px%20rgba%280%2C0%2C0%2C%2E5%29%3Bbox%2Dshadow%3A0%203px%209px%20rgba%280%2C0%2C0%2C%2E5%29%7D%2Emodal%2Dbackdrop%7Bposition%3Afixed%3Btop%3A0%3Bright%3A0%3Bbottom%3A0%3Bleft%3A0%3Bz%2Dindex%3A1040%3Bbackground%2Dcolor%3A%23000%7D%2Emodal%2Dbackdrop%2Efade%7Bfilter%3Aalpha%28opacity%3D0%29%3Bopacity%3A0%7D%2Emodal%2Dbackdrop%2Ein%7Bfilter%3Aalpha%28opacity%3D50%29%3Bopacity%3A%2E5%7D%2Emodal%2Dheader%7Bmin%2Dheight%3A16%2E43px%3Bpadding%3A15px%3Bborder%2Dbottom%3A1px%20solid%20%23e5e5e5%7D%2Emodal%2Dheader%20%2Eclose%7Bmargin%2Dtop%3A%2D2px%7D%2Emodal%2Dtitle%7Bmargin%3A0%3Bline%2Dheight%3A1%2E42857143%7D%2Emodal%2Dbody%7Bposition%3Arelative%3Bpadding%3A15px%7D%2Emodal%2Dfooter%7Bpadding%3A15px%3Btext%2Dalign%3Aright%3Bborder%2Dtop%3A1px%20solid%20%23e5e5e5%7D%2Emodal%2Dfooter%20%2Ebtn%2B%2Ebtn%7Bmargin%2Dbottom%3A0%3Bmargin%2Dleft%3A5px%7D%2Emodal%2Dfooter%20%2Ebtn%2Dgroup%20%2Ebtn%2B%2Ebtn%7Bmargin%2Dleft%3A%2D1px%7D%2Emodal%2Dfooter%20%2Ebtn%2Dblock%2B%2Ebtn%2Dblock%7Bmargin%2Dleft%3A0%7D%2Emodal%2Dscrollbar%2Dmeasure%7Bposition%3Aabsolute%3Btop%3A%2D9999px%3Bwidth%3A50px%3Bheight%3A50px%3Boverflow%3Ascroll%7D%40media%20%28min%2Dwidth%3A768px%29%7B%2Emodal%2Ddialog%7Bwidth%3A600px%3Bmargin%3A30px%20auto%7D%2Emodal%2Dcontent%7B%2Dwebkit%2Dbox%2Dshadow%3A0%205px%2015px%20rgba%280%2C0%2C0%2C%2E5%29%3Bbox%2Dshadow%3A0%205px%2015px%20rgba%280%2C0%2C0%2C%2E5%29%7D%2Emodal%2Dsm%7Bwidth%3A300px%7D%7D%40media%20%28min%2Dwidth%3A992px%29%7B%2Emodal%2Dlg%7Bwidth%3A900px%7D%7D%2Etooltip%7Bposition%3Aabsolute%3Bz%2Dindex%3A1070%3Bdisplay%3Ablock%3Bfont%2Dfamily%3A%22Helvetica%20Neue%22%2CHelvetica%2CArial%2Csans%2Dserif%3Bfont%2Dsize%3A12px%3Bfont%2Dstyle%3Anormal%3Bfont%2Dweight%3A400%3Bline%2Dheight%3A1%2E42857143%3Btext%2Dalign%3Aleft%3Btext%2Dalign%3Astart%3Btext%2Ddecoration%3Anone%3Btext%2Dshadow%3Anone%3Btext%2Dtransform%3Anone%3Bletter%2Dspacing%3Anormal%3Bword%2Dbreak%3Anormal%3Bword%2Dspacing%3Anormal%3Bword%2Dwrap%3Anormal%3Bwhite%2Dspace%3Anormal%3Bfilter%3Aalpha%28opacity%3D0%29%3Bopacity%3A0%3Bline%2Dbreak%3Aauto%7D%2Etooltip%2Ein%7Bfilter%3Aalpha%28opacity%3D90%29%3Bopacity%3A%2E9%7D%2Etooltip%2Etop%7Bpadding%3A5px%200%3Bmargin%2Dtop%3A%2D3px%7D%2Etooltip%2Eright%7Bpadding%3A0%205px%3Bmargin%2Dleft%3A3px%7D%2Etooltip%2Ebottom%7Bpadding%3A5px%200%3Bmargin%2Dtop%3A3px%7D%2Etooltip%2Eleft%7Bpadding%3A0%205px%3Bmargin%2Dleft%3A%2D3px%7D%2Etooltip%2Dinner%7Bmax%2Dwidth%3A200px%3Bpadding%3A3px%208px%3Bcolor%3A%23fff%3Btext%2Dalign%3Acenter%3Bbackground%2Dcolor%3A%23000%3Bborder%2Dradius%3A4px%7D%2Etooltip%2Darrow%7Bposition%3Aabsolute%3Bwidth%3A0%3Bheight%3A0%3Bborder%2Dcolor%3Atransparent%3Bborder%2Dstyle%3Asolid%7D%2Etooltip%2Etop%20%2Etooltip%2Darrow%7Bbottom%3A0%3Bleft%3A50%25%3Bmargin%2Dleft%3A%2D5px%3Bborder%2Dwidth%3A5px%205px%200%3Bborder%2Dtop%2Dcolor%3A%23000%7D%2Etooltip%2Etop%2Dleft%20%2Etooltip%2Darrow%7Bright%3A5px%3Bbottom%3A0%3Bmargin%2Dbottom%3A%2D5px%3Bborder%2Dwidth%3A5px%205px%200%3Bborder%2Dtop%2Dcolor%3A%23000%7D%2Etooltip%2Etop%2Dright%20%2Etooltip%2Darrow%7Bbottom%3A0%3Bleft%3A5px%3Bmargin%2Dbottom%3A%2D5px%3Bborder%2Dwidth%3A5px%205px%200%3Bborder%2Dtop%2Dcolor%3A%23000%7D%2Etooltip%2Eright%20%2Etooltip%2Darrow%7Btop%3A50%25%3Bleft%3A0%3Bmargin%2Dtop%3A%2D5px%3Bborder%2Dwidth%3A5px%205px%205px%200%3Bborder%2Dright%2Dcolor%3A%23000%7D%2Etooltip%2Eleft%20%2Etooltip%2Darrow%7Btop%3A50%25%3Bright%3A0%3Bmargin%2Dtop%3A%2D5px%3Bborder%2Dwidth%3A5px%200%205px%205px%3Bborder%2Dleft%2Dcolor%3A%23000%7D%2Etooltip%2Ebottom%20%2Etooltip%2Darrow%7Btop%3A0%3Bleft%3A50%25%3Bmargin%2Dleft%3A%2D5px%3Bborder%2Dwidth%3A0%205px%205px%3Bborder%2Dbottom%2Dcolor%3A%23000%7D%2Etooltip%2Ebottom%2Dleft%20%2Etooltip%2Darrow%7Btop%3A0%3Bright%3A5px%3Bmargin%2Dtop%3A%2D5px%3Bborder%2Dwidth%3A0%205px%205px%3Bborder%2Dbottom%2Dcolor%3A%23000%7D%2Etooltip%2Ebottom%2Dright%20%2Etooltip%2Darrow%7Btop%3A0%3Bleft%3A5px%3Bmargin%2Dtop%3A%2D5px%3Bborder%2Dwidth%3A0%205px%205px%3Bborder%2Dbottom%2Dcolor%3A%23000%7D%2Epopover%7Bposition%3Aabsolute%3Btop%3A0%3Bleft%3A0%3Bz%2Dindex%3A1060%3Bdisplay%3Anone%3Bmax%2Dwidth%3A276px%3Bpadding%3A1px%3Bfont%2Dfamily%3A%22Helvetica%20Neue%22%2CHelvetica%2CArial%2Csans%2Dserif%3Bfont%2Dsize%3A14px%3Bfont%2Dstyle%3Anormal%3Bfont%2Dweight%3A400%3Bline%2Dheight%3A1%2E42857143%3Btext%2Dalign%3Aleft%3Btext%2Dalign%3Astart%3Btext%2Ddecoration%3Anone%3Btext%2Dshadow%3Anone%3Btext%2Dtransform%3Anone%3Bletter%2Dspacing%3Anormal%3Bword%2Dbreak%3Anormal%3Bword%2Dspacing%3Anormal%3Bword%2Dwrap%3Anormal%3Bwhite%2Dspace%3Anormal%3Bbackground%2Dcolor%3A%23fff%3B%2Dwebkit%2Dbackground%2Dclip%3Apadding%2Dbox%3Bbackground%2Dclip%3Apadding%2Dbox%3Bborder%3A1px%20solid%20%23ccc%3Bborder%3A1px%20solid%20rgba%280%2C0%2C0%2C%2E2%29%3Bborder%2Dradius%3A6px%3B%2Dwebkit%2Dbox%2Dshadow%3A0%205px%2010px%20rgba%280%2C0%2C0%2C%2E2%29%3Bbox%2Dshadow%3A0%205px%2010px%20rgba%280%2C0%2C0%2C%2E2%29%3Bline%2Dbreak%3Aauto%7D%2Epopover%2Etop%7Bmargin%2Dtop%3A%2D10px%7D%2Epopover%2Eright%7Bmargin%2Dleft%3A10px%7D%2Epopover%2Ebottom%7Bmargin%2Dtop%3A10px%7D%2Epopover%2Eleft%7Bmargin%2Dleft%3A%2D10px%7D%2Epopover%2Dtitle%7Bpadding%3A8px%2014px%3Bmargin%3A0%3Bfont%2Dsize%3A14px%3Bbackground%2Dcolor%3A%23f7f7f7%3Bborder%2Dbottom%3A1px%20solid%20%23ebebeb%3Bborder%2Dradius%3A5px%205px%200%200%7D%2Epopover%2Dcontent%7Bpadding%3A9px%2014px%7D%2Epopover%3E%2Earrow%2C%2Epopover%3E%2Earrow%3Aafter%7Bposition%3Aabsolute%3Bdisplay%3Ablock%3Bwidth%3A0%3Bheight%3A0%3Bborder%2Dcolor%3Atransparent%3Bborder%2Dstyle%3Asolid%7D%2Epopover%3E%2Earrow%7Bborder%2Dwidth%3A11px%7D%2Epopover%3E%2Earrow%3Aafter%7Bcontent%3A%22%22%3Bborder%2Dwidth%3A10px%7D%2Epopover%2Etop%3E%2Earrow%7Bbottom%3A%2D11px%3Bleft%3A50%25%3Bmargin%2Dleft%3A%2D11px%3Bborder%2Dtop%2Dcolor%3A%23999%3Bborder%2Dtop%2Dcolor%3Argba%280%2C0%2C0%2C%2E25%29%3Bborder%2Dbottom%2Dwidth%3A0%7D%2Epopover%2Etop%3E%2Earrow%3Aafter%7Bbottom%3A1px%3Bmargin%2Dleft%3A%2D10px%3Bcontent%3A%22%20%22%3Bborder%2Dtop%2Dcolor%3A%23fff%3Bborder%2Dbottom%2Dwidth%3A0%7D%2Epopover%2Eright%3E%2Earrow%7Btop%3A50%25%3Bleft%3A%2D11px%3Bmargin%2Dtop%3A%2D11px%3Bborder%2Dright%2Dcolor%3A%23999%3Bborder%2Dright%2Dcolor%3Argba%280%2C0%2C0%2C%2E25%29%3Bborder%2Dleft%2Dwidth%3A0%7D%2Epopover%2Eright%3E%2Earrow%3Aafter%7Bbottom%3A%2D10px%3Bleft%3A1px%3Bcontent%3A%22%20%22%3Bborder%2Dright%2Dcolor%3A%23fff%3Bborder%2Dleft%2Dwidth%3A0%7D%2Epopover%2Ebottom%3E%2Earrow%7Btop%3A%2D11px%3Bleft%3A50%25%3Bmargin%2Dleft%3A%2D11px%3Bborder%2Dtop%2Dwidth%3A0%3Bborder%2Dbottom%2Dcolor%3A%23999%3Bborder%2Dbottom%2Dcolor%3Argba%280%2C0%2C0%2C%2E25%29%7D%2Epopover%2Ebottom%3E%2Earrow%3Aafter%7Btop%3A1px%3Bmargin%2Dleft%3A%2D10px%3Bcontent%3A%22%20%22%3Bborder%2Dtop%2Dwidth%3A0%3Bborder%2Dbottom%2Dcolor%3A%23fff%7D%2Epopover%2Eleft%3E%2Earrow%7Btop%3A50%25%3Bright%3A%2D11px%3Bmargin%2Dtop%3A%2D11px%3Bborder%2Dright%2Dwidth%3A0%3Bborder%2Dleft%2Dcolor%3A%23999%3Bborder%2Dleft%2Dcolor%3Argba%280%2C0%2C0%2C%2E25%29%7D%2Epopover%2Eleft%3E%2Earrow%3Aafter%7Bright%3A1px%3Bbottom%3A%2D10px%3Bcontent%3A%22%20%22%3Bborder%2Dright%2Dwidth%3A0%3Bborder%2Dleft%2Dcolor%3A%23fff%7D%2Ecarousel%7Bposition%3Arelative%7D%2Ecarousel%2Dinner%7Bposition%3Arelative%3Bwidth%3A100%25%3Boverflow%3Ahidden%7D%2Ecarousel%2Dinner%3E%2Eitem%7Bposition%3Arelative%3Bdisplay%3Anone%3B%2Dwebkit%2Dtransition%3A%2E6s%20ease%2Din%2Dout%20left%3B%2Do%2Dtransition%3A%2E6s%20ease%2Din%2Dout%20left%3Btransition%3A%2E6s%20ease%2Din%2Dout%20left%7D%2Ecarousel%2Dinner%3E%2Eitem%3Ea%3Eimg%2C%2Ecarousel%2Dinner%3E%2Eitem%3Eimg%7Bline%2Dheight%3A1%7D%40media%20all%20and%20%28transform%2D3d%29%2C%28%2Dwebkit%2Dtransform%2D3d%29%7B%2Ecarousel%2Dinner%3E%2Eitem%7B%2Dwebkit%2Dtransition%3A%2Dwebkit%2Dtransform%20%2E6s%20ease%2Din%2Dout%3B%2Do%2Dtransition%3A%2Do%2Dtransform%20%2E6s%20ease%2Din%2Dout%3Btransition%3Atransform%20%2E6s%20ease%2Din%2Dout%3B%2Dwebkit%2Dbackface%2Dvisibility%3Ahidden%3Bbackface%2Dvisibility%3Ahidden%3B%2Dwebkit%2Dperspective%3A1000px%3Bperspective%3A1000px%7D%2Ecarousel%2Dinner%3E%2Eitem%2Eactive%2Eright%2C%2Ecarousel%2Dinner%3E%2Eitem%2Enext%7Bleft%3A0%3B%2Dwebkit%2Dtransform%3Atranslate3d%28100%25%2C0%2C0%29%3Btransform%3Atranslate3d%28100%25%2C0%2C0%29%7D%2Ecarousel%2Dinner%3E%2Eitem%2Eactive%2Eleft%2C%2Ecarousel%2Dinner%3E%2Eitem%2Eprev%7Bleft%3A0%3B%2Dwebkit%2Dtransform%3Atranslate3d%28%2D100%25%2C0%2C0%29%3Btransform%3Atranslate3d%28%2D100%25%2C0%2C0%29%7D%2Ecarousel%2Dinner%3E%2Eitem%2Eactive%2C%2Ecarousel%2Dinner%3E%2Eitem%2Enext%2Eleft%2C%2Ecarousel%2Dinner%3E%2Eitem%2Eprev%2Eright%7Bleft%3A0%3B%2Dwebkit%2Dtransform%3Atranslate3d%280%2C0%2C0%29%3Btransform%3Atranslate3d%280%2C0%2C0%29%7D%7D%2Ecarousel%2Dinner%3E%2Eactive%2C%2Ecarousel%2Dinner%3E%2Enext%2C%2Ecarousel%2Dinner%3E%2Eprev%7Bdisplay%3Ablock%7D%2Ecarousel%2Dinner%3E%2Eactive%7Bleft%3A0%7D%2Ecarousel%2Dinner%3E%2Enext%2C%2Ecarousel%2Dinner%3E%2Eprev%7Bposition%3Aabsolute%3Btop%3A0%3Bwidth%3A100%25%7D%2Ecarousel%2Dinner%3E%2Enext%7Bleft%3A100%25%7D%2Ecarousel%2Dinner%3E%2Eprev%7Bleft%3A%2D100%25%7D%2Ecarousel%2Dinner%3E%2Enext%2Eleft%2C%2Ecarousel%2Dinner%3E%2Eprev%2Eright%7Bleft%3A0%7D%2Ecarousel%2Dinner%3E%2Eactive%2Eleft%7Bleft%3A%2D100%25%7D%2Ecarousel%2Dinner%3E%2Eactive%2Eright%7Bleft%3A100%25%7D%2Ecarousel%2Dcontrol%7Bposition%3Aabsolute%3Btop%3A0%3Bbottom%3A0%3Bleft%3A0%3Bwidth%3A15%25%3Bfont%2Dsize%3A20px%3Bcolor%3A%23fff%3Btext%2Dalign%3Acenter%3Btext%2Dshadow%3A0%201px%202px%20rgba%280%2C0%2C0%2C%2E6%29%3Bfilter%3Aalpha%28opacity%3D50%29%3Bopacity%3A%2E5%7D%2Ecarousel%2Dcontrol%2Eleft%7Bbackground%2Dimage%3A%2Dwebkit%2Dlinear%2Dgradient%28left%2Crgba%280%2C0%2C0%2C%2E5%29%200%2Crgba%280%2C0%2C0%2C%2E0001%29%20100%25%29%3Bbackground%2Dimage%3A%2Do%2Dlinear%2Dgradient%28left%2Crgba%280%2C0%2C0%2C%2E5%29%200%2Crgba%280%2C0%2C0%2C%2E0001%29%20100%25%29%3Bbackground%2Dimage%3A%2Dwebkit%2Dgradient%28linear%2Cleft%20top%2Cright%20top%2Cfrom%28rgba%280%2C0%2C0%2C%2E5%29%29%2Cto%28rgba%280%2C0%2C0%2C%2E0001%29%29%29%3Bbackground%2Dimage%3Alinear%2Dgradient%28to%20right%2Crgba%280%2C0%2C0%2C%2E5%29%200%2Crgba%280%2C0%2C0%2C%2E0001%29%20100%25%29%3Bfilter%3Aprogid%3ADXImageTransform%2EMicrosoft%2Egradient%28startColorstr%3D%27%2380000000%27%2C%20endColorstr%3D%27%2300000000%27%2C%20GradientType%3D1%29%3Bbackground%2Drepeat%3Arepeat%2Dx%7D%2Ecarousel%2Dcontrol%2Eright%7Bright%3A0%3Bleft%3Aauto%3Bbackground%2Dimage%3A%2Dwebkit%2Dlinear%2Dgradient%28left%2Crgba%280%2C0%2C0%2C%2E0001%29%200%2Crgba%280%2C0%2C0%2C%2E5%29%20100%25%29%3Bbackground%2Dimage%3A%2Do%2Dlinear%2Dgradient%28left%2Crgba%280%2C0%2C0%2C%2E0001%29%200%2Crgba%280%2C0%2C0%2C%2E5%29%20100%25%29%3Bbackground%2Dimage%3A%2Dwebkit%2Dgradient%28linear%2Cleft%20top%2Cright%20top%2Cfrom%28rgba%280%2C0%2C0%2C%2E0001%29%29%2Cto%28rgba%280%2C0%2C0%2C%2E5%29%29%29%3Bbackground%2Dimage%3Alinear%2Dgradient%28to%20right%2Crgba%280%2C0%2C0%2C%2E0001%29%200%2Crgba%280%2C0%2C0%2C%2E5%29%20100%25%29%3Bfilter%3Aprogid%3ADXImageTransform%2EMicrosoft%2Egradient%28startColorstr%3D%27%2300000000%27%2C%20endColorstr%3D%27%2380000000%27%2C%20GradientType%3D1%29%3Bbackground%2Drepeat%3Arepeat%2Dx%7D%2Ecarousel%2Dcontrol%3Afocus%2C%2Ecarousel%2Dcontrol%3Ahover%7Bcolor%3A%23fff%3Btext%2Ddecoration%3Anone%3Bfilter%3Aalpha%28opacity%3D90%29%3Boutline%3A0%3Bopacity%3A%2E9%7D%2Ecarousel%2Dcontrol%20%2Eglyphicon%2Dchevron%2Dleft%2C%2Ecarousel%2Dcontrol%20%2Eglyphicon%2Dchevron%2Dright%2C%2Ecarousel%2Dcontrol%20%2Eicon%2Dnext%2C%2Ecarousel%2Dcontrol%20%2Eicon%2Dprev%7Bposition%3Aabsolute%3Btop%3A50%25%3Bz%2Dindex%3A5%3Bdisplay%3Ainline%2Dblock%3Bmargin%2Dtop%3A%2D10px%7D%2Ecarousel%2Dcontrol%20%2Eglyphicon%2Dchevron%2Dleft%2C%2Ecarousel%2Dcontrol%20%2Eicon%2Dprev%7Bleft%3A50%25%3Bmargin%2Dleft%3A%2D10px%7D%2Ecarousel%2Dcontrol%20%2Eglyphicon%2Dchevron%2Dright%2C%2Ecarousel%2Dcontrol%20%2Eicon%2Dnext%7Bright%3A50%25%3Bmargin%2Dright%3A%2D10px%7D%2Ecarousel%2Dcontrol%20%2Eicon%2Dnext%2C%2Ecarousel%2Dcontrol%20%2Eicon%2Dprev%7Bwidth%3A20px%3Bheight%3A20px%3Bfont%2Dfamily%3Aserif%3Bline%2Dheight%3A1%7D%2Ecarousel%2Dcontrol%20%2Eicon%2Dprev%3Abefore%7Bcontent%3A%27%5C2039%27%7D%2Ecarousel%2Dcontrol%20%2Eicon%2Dnext%3Abefore%7Bcontent%3A%27%5C203a%27%7D%2Ecarousel%2Dindicators%7Bposition%3Aabsolute%3Bbottom%3A10px%3Bleft%3A50%25%3Bz%2Dindex%3A15%3Bwidth%3A60%25%3Bpadding%2Dleft%3A0%3Bmargin%2Dleft%3A%2D30%25%3Btext%2Dalign%3Acenter%3Blist%2Dstyle%3Anone%7D%2Ecarousel%2Dindicators%20li%7Bdisplay%3Ainline%2Dblock%3Bwidth%3A10px%3Bheight%3A10px%3Bmargin%3A1px%3Btext%2Dindent%3A%2D999px%3Bcursor%3Apointer%3Bbackground%2Dcolor%3A%23000%5C9%3Bbackground%2Dcolor%3Argba%280%2C0%2C0%2C0%29%3Bborder%3A1px%20solid%20%23fff%3Bborder%2Dradius%3A10px%7D%2Ecarousel%2Dindicators%20%2Eactive%7Bwidth%3A12px%3Bheight%3A12px%3Bmargin%3A0%3Bbackground%2Dcolor%3A%23fff%7D%2Ecarousel%2Dcaption%7Bposition%3Aabsolute%3Bright%3A15%25%3Bbottom%3A20px%3Bleft%3A15%25%3Bz%2Dindex%3A10%3Bpadding%2Dtop%3A20px%3Bpadding%2Dbottom%3A20px%3Bcolor%3A%23fff%3Btext%2Dalign%3Acenter%3Btext%2Dshadow%3A0%201px%202px%20rgba%280%2C0%2C0%2C%2E6%29%7D%2Ecarousel%2Dcaption%20%2Ebtn%7Btext%2Dshadow%3Anone%7D%40media%20screen%20and%20%28min%2Dwidth%3A768px%29%7B%2Ecarousel%2Dcontrol%20%2Eglyphicon%2Dchevron%2Dleft%2C%2Ecarousel%2Dcontrol%20%2Eglyphicon%2Dchevron%2Dright%2C%2Ecarousel%2Dcontrol%20%2Eicon%2Dnext%2C%2Ecarousel%2Dcontrol%20%2Eicon%2Dprev%7Bwidth%3A30px%3Bheight%3A30px%3Bmargin%2Dtop%3A%2D15px%3Bfont%2Dsize%3A30px%7D%2Ecarousel%2Dcontrol%20%2Eglyphicon%2Dchevron%2Dleft%2C%2Ecarousel%2Dcontrol%20%2Eicon%2Dprev%7Bmargin%2Dleft%3A%2D15px%7D%2Ecarousel%2Dcontrol%20%2Eglyphicon%2Dchevron%2Dright%2C%2Ecarousel%2Dcontrol%20%2Eicon%2Dnext%7Bmargin%2Dright%3A%2D15px%7D%2Ecarousel%2Dcaption%7Bright%3A20%25%3Bleft%3A20%25%3Bpadding%2Dbottom%3A30px%7D%2Ecarousel%2Dindicators%7Bbottom%3A20px%7D%7D%2Ebtn%2Dgroup%2Dvertical%3E%2Ebtn%2Dgroup%3Aafter%2C%2Ebtn%2Dgroup%2Dvertical%3E%2Ebtn%2Dgroup%3Abefore%2C%2Ebtn%2Dtoolbar%3Aafter%2C%2Ebtn%2Dtoolbar%3Abefore%2C%2Eclearfix%3Aafter%2C%2Eclearfix%3Abefore%2C%2Econtainer%2Dfluid%3Aafter%2C%2Econtainer%2Dfluid%3Abefore%2C%2Econtainer%3Aafter%2C%2Econtainer%3Abefore%2C%2Edl%2Dhorizontal%20dd%3Aafter%2C%2Edl%2Dhorizontal%20dd%3Abefore%2C%2Eform%2Dhorizontal%20%2Eform%2Dgroup%3Aafter%2C%2Eform%2Dhorizontal%20%2Eform%2Dgroup%3Abefore%2C%2Emodal%2Dfooter%3Aafter%2C%2Emodal%2Dfooter%3Abefore%2C%2Enav%3Aafter%2C%2Enav%3Abefore%2C%2Enavbar%2Dcollapse%3Aafter%2C%2Enavbar%2Dcollapse%3Abefore%2C%2Enavbar%2Dheader%3Aafter%2C%2Enavbar%2Dheader%3Abefore%2C%2Enavbar%3Aafter%2C%2Enavbar%3Abefore%2C%2Epager%3Aafter%2C%2Epager%3Abefore%2C%2Epanel%2Dbody%3Aafter%2C%2Epanel%2Dbody%3Abefore%2C%2Erow%3Aafter%2C%2Erow%3Abefore%7Bdisplay%3Atable%3Bcontent%3A%22%20%22%7D%2Ebtn%2Dgroup%2Dvertical%3E%2Ebtn%2Dgroup%3Aafter%2C%2Ebtn%2Dtoolbar%3Aafter%2C%2Eclearfix%3Aafter%2C%2Econtainer%2Dfluid%3Aafter%2C%2Econtainer%3Aafter%2C%2Edl%2Dhorizontal%20dd%3Aafter%2C%2Eform%2Dhorizontal%20%2Eform%2Dgroup%3Aafter%2C%2Emodal%2Dfooter%3Aafter%2C%2Enav%3Aafter%2C%2Enavbar%2Dcollapse%3Aafter%2C%2Enavbar%2Dheader%3Aafter%2C%2Enavbar%3Aafter%2C%2Epager%3Aafter%2C%2Epanel%2Dbody%3Aafter%2C%2Erow%3Aafter%7Bclear%3Aboth%7D%2Ecenter%2Dblock%7Bdisplay%3Ablock%3Bmargin%2Dright%3Aauto%3Bmargin%2Dleft%3Aauto%7D%2Epull%2Dright%7Bfloat%3Aright%21important%7D%2Epull%2Dleft%7Bfloat%3Aleft%21important%7D%2Ehide%7Bdisplay%3Anone%21important%7D%2Eshow%7Bdisplay%3Ablock%21important%7D%2Einvisible%7Bvisibility%3Ahidden%7D%2Etext%2Dhide%7Bfont%3A0%2F0%20a%3Bcolor%3Atransparent%3Btext%2Dshadow%3Anone%3Bbackground%2Dcolor%3Atransparent%3Bborder%3A0%7D%2Ehidden%7Bdisplay%3Anone%21important%7D%2Eaffix%7Bposition%3Afixed%7D%40%2Dms%2Dviewport%7Bwidth%3Adevice%2Dwidth%7D%2Evisible%2Dlg%2C%2Evisible%2Dmd%2C%2Evisible%2Dsm%2C%2Evisible%2Dxs%7Bdisplay%3Anone%21important%7D%2Evisible%2Dlg%2Dblock%2C%2Evisible%2Dlg%2Dinline%2C%2Evisible%2Dlg%2Dinline%2Dblock%2C%2Evisible%2Dmd%2Dblock%2C%2Evisible%2Dmd%2Dinline%2C%2Evisible%2Dmd%2Dinline%2Dblock%2C%2Evisible%2Dsm%2Dblock%2C%2Evisible%2Dsm%2Dinline%2C%2Evisible%2Dsm%2Dinline%2Dblock%2C%2Evisible%2Dxs%2Dblock%2C%2Evisible%2Dxs%2Dinline%2C%2Evisible%2Dxs%2Dinline%2Dblock%7Bdisplay%3Anone%21important%7D%40media%20%28max%2Dwidth%3A767px%29%7B%2Evisible%2Dxs%7Bdisplay%3Ablock%21important%7Dtable%2Evisible%2Dxs%7Bdisplay%3Atable%21important%7Dtr%2Evisible%2Dxs%7Bdisplay%3Atable%2Drow%21important%7Dtd%2Evisible%2Dxs%2Cth%2Evisible%2Dxs%7Bdisplay%3Atable%2Dcell%21important%7D%7D%40media%20%28max%2Dwidth%3A767px%29%7B%2Evisible%2Dxs%2Dblock%7Bdisplay%3Ablock%21important%7D%7D%40media%20%28max%2Dwidth%3A767px%29%7B%2Evisible%2Dxs%2Dinline%7Bdisplay%3Ainline%21important%7D%7D%40media%20%28max%2Dwidth%3A767px%29%7B%2Evisible%2Dxs%2Dinline%2Dblock%7Bdisplay%3Ainline%2Dblock%21important%7D%7D%40media%20%28min%2Dwidth%3A768px%29%20and%20%28max%2Dwidth%3A991px%29%7B%2Evisible%2Dsm%7Bdisplay%3Ablock%21important%7Dtable%2Evisible%2Dsm%7Bdisplay%3Atable%21important%7Dtr%2Evisible%2Dsm%7Bdisplay%3Atable%2Drow%21important%7Dtd%2Evisible%2Dsm%2Cth%2Evisible%2Dsm%7Bdisplay%3Atable%2Dcell%21important%7D%7D%40media%20%28min%2Dwidth%3A768px%29%20and%20%28max%2Dwidth%3A991px%29%7B%2Evisible%2Dsm%2Dblock%7Bdisplay%3Ablock%21important%7D%7D%40media%20%28min%2Dwidth%3A768px%29%20and%20%28max%2Dwidth%3A991px%29%7B%2Evisible%2Dsm%2Dinline%7Bdisplay%3Ainline%21important%7D%7D%40media%20%28min%2Dwidth%3A768px%29%20and%20%28max%2Dwidth%3A991px%29%7B%2Evisible%2Dsm%2Dinline%2Dblock%7Bdisplay%3Ainline%2Dblock%21important%7D%7D%40media%20%28min%2Dwidth%3A992px%29%20and%20%28max%2Dwidth%3A1199px%29%7B%2Evisible%2Dmd%7Bdisplay%3Ablock%21important%7Dtable%2Evisible%2Dmd%7Bdisplay%3Atable%21important%7Dtr%2Evisible%2Dmd%7Bdisplay%3Atable%2Drow%21important%7Dtd%2Evisible%2Dmd%2Cth%2Evisible%2Dmd%7Bdisplay%3Atable%2Dcell%21important%7D%7D%40media%20%28min%2Dwidth%3A992px%29%20and%20%28max%2Dwidth%3A1199px%29%7B%2Evisible%2Dmd%2Dblock%7Bdisplay%3Ablock%21important%7D%7D%40media%20%28min%2Dwidth%3A992px%29%20and%20%28max%2Dwidth%3A1199px%29%7B%2Evisible%2Dmd%2Dinline%7Bdisplay%3Ainline%21important%7D%7D%40media%20%28min%2Dwidth%3A992px%29%20and%20%28max%2Dwidth%3A1199px%29%7B%2Evisible%2Dmd%2Dinline%2Dblock%7Bdisplay%3Ainline%2Dblock%21important%7D%7D%40media%20%28min%2Dwidth%3A1200px%29%7B%2Evisible%2Dlg%7Bdisplay%3Ablock%21important%7Dtable%2Evisible%2Dlg%7Bdisplay%3Atable%21important%7Dtr%2Evisible%2Dlg%7Bdisplay%3Atable%2Drow%21important%7Dtd%2Evisible%2Dlg%2Cth%2Evisible%2Dlg%7Bdisplay%3Atable%2Dcell%21important%7D%7D%40media%20%28min%2Dwidth%3A1200px%29%7B%2Evisible%2Dlg%2Dblock%7Bdisplay%3Ablock%21important%7D%7D%40media%20%28min%2Dwidth%3A1200px%29%7B%2Evisible%2Dlg%2Dinline%7Bdisplay%3Ainline%21important%7D%7D%40media%20%28min%2Dwidth%3A1200px%29%7B%2Evisible%2Dlg%2Dinline%2Dblock%7Bdisplay%3Ainline%2Dblock%21important%7D%7D%40media%20%28max%2Dwidth%3A767px%29%7B%2Ehidden%2Dxs%7Bdisplay%3Anone%21important%7D%7D%40media%20%28min%2Dwidth%3A768px%29%20and%20%28max%2Dwidth%3A991px%29%7B%2Ehidden%2Dsm%7Bdisplay%3Anone%21important%7D%7D%40media%20%28min%2Dwidth%3A992px%29%20and%20%28max%2Dwidth%3A1199px%29%7B%2Ehidden%2Dmd%7Bdisplay%3Anone%21important%7D%7D%40media%20%28min%2Dwidth%3A1200px%29%7B%2Ehidden%2Dlg%7Bdisplay%3Anone%21important%7D%7D%2Evisible%2Dprint%7Bdisplay%3Anone%21important%7D%40media%20print%7B%2Evisible%2Dprint%7Bdisplay%3Ablock%21important%7Dtable%2Evisible%2Dprint%7Bdisplay%3Atable%21important%7Dtr%2Evisible%2Dprint%7Bdisplay%3Atable%2Drow%21important%7Dtd%2Evisible%2Dprint%2Cth%2Evisible%2Dprint%7Bdisplay%3Atable%2Dcell%21important%7D%7D%2Evisible%2Dprint%2Dblock%7Bdisplay%3Anone%21important%7D%40media%20print%7B%2Evisible%2Dprint%2Dblock%7Bdisplay%3Ablock%21important%7D%7D%2Evisible%2Dprint%2Dinline%7Bdisplay%3Anone%21important%7D%40media%20print%7B%2Evisible%2Dprint%2Dinline%7Bdisplay%3Ainline%21important%7D%7D%2Evisible%2Dprint%2Dinline%2Dblock%7Bdisplay%3Anone%21important%7D%40media%20print%7B%2Evisible%2Dprint%2Dinline%2Dblock%7Bdisplay%3Ainline%2Dblock%21important%7D%7D%40media%20print%7B%2Ehidden%2Dprint%7Bdisplay%3Anone%21important%7D%7D%0A" rel="stylesheet" />
<script src="data:application/javascript;base64,/*!
 * Bootstrap v3.3.5 (http://getbootstrap.com)
 * Copyright 2011-2015 Twitter, Inc.
 * Licensed under the MIT license
 */
if("undefined"==typeof jQuery)throw new Error("Bootstrap's JavaScript requires jQuery");+function(a){"use strict";var b=a.fn.jquery.split(" ")[0].split(".");if(b[0]<2&&b[1]<9||1==b[0]&&9==b[1]&&b[2]<1)throw new Error("Bootstrap's JavaScript requires jQuery version 1.9.1 or higher")}(jQuery),+function(a){"use strict";function b(){var a=document.createElement("bootstrap"),b={WebkitTransition:"webkitTransitionEnd",MozTransition:"transitionend",OTransition:"oTransitionEnd otransitionend",transition:"transitionend"};for(var c in b)if(void 0!==a.style[c])return{end:b[c]};return!1}a.fn.emulateTransitionEnd=function(b){var c=!1,d=this;a(this).one("bsTransitionEnd",function(){c=!0});var e=function(){c||a(d).trigger(a.support.transition.end)};return setTimeout(e,b),this},a(function(){a.support.transition=b(),a.support.transition&&(a.event.special.bsTransitionEnd={bindType:a.support.transition.end,delegateType:a.support.transition.end,handle:function(b){return a(b.target).is(this)?b.handleObj.handler.apply(this,arguments):void 0}})})}(jQuery),+function(a){"use strict";function b(b){return this.each(function(){var c=a(this),e=c.data("bs.alert");e||c.data("bs.alert",e=new d(this)),"string"==typeof b&&e[b].call(c)})}var c='[data-dismiss="alert"]',d=function(b){a(b).on("click",c,this.close)};d.VERSION="3.3.5",d.TRANSITION_DURATION=150,d.prototype.close=function(b){function c(){g.detach().trigger("closed.bs.alert").remove()}var e=a(this),f=e.attr("data-target");f||(f=e.attr("href"),f=f&&f.replace(/.*(?=#[^\s]*$)/,""));var g=a(f);b&&b.preventDefault(),g.length||(g=e.closest(".alert")),g.trigger(b=a.Event("close.bs.alert")),b.isDefaultPrevented()||(g.removeClass("in"),a.support.transition&&g.hasClass("fade")?g.one("bsTransitionEnd",c).emulateTransitionEnd(d.TRANSITION_DURATION):c())};var e=a.fn.alert;a.fn.alert=b,a.fn.alert.Constructor=d,a.fn.alert.noConflict=function(){return a.fn.alert=e,this},a(document).on("click.bs.alert.data-api",c,d.prototype.close)}(jQuery),+function(a){"use strict";function b(b){return this.each(function(){var d=a(this),e=d.data("bs.button"),f="object"==typeof b&&b;e||d.data("bs.button",e=new c(this,f)),"toggle"==b?e.toggle():b&&e.setState(b)})}var c=function(b,d){this.$element=a(b),this.options=a.extend({},c.DEFAULTS,d),this.isLoading=!1};c.VERSION="3.3.5",c.DEFAULTS={loadingText:"loading..."},c.prototype.setState=function(b){var c="disabled",d=this.$element,e=d.is("input")?"val":"html",f=d.data();b+="Text",null==f.resetText&&d.data("resetText",d[e]()),setTimeout(a.proxy(function(){d[e](null==f[b]?this.options[b]:f[b]),"loadingText"==b?(this.isLoading=!0,d.addClass(c).attr(c,c)):this.isLoading&&(this.isLoading=!1,d.removeClass(c).removeAttr(c))},this),0)},c.prototype.toggle=function(){var a=!0,b=this.$element.closest('[data-toggle="buttons"]');if(b.length){var c=this.$element.find("input");"radio"==c.prop("type")?(c.prop("checked")&&(a=!1),b.find(".active").removeClass("active"),this.$element.addClass("active")):"checkbox"==c.prop("type")&&(c.prop("checked")!==this.$element.hasClass("active")&&(a=!1),this.$element.toggleClass("active")),c.prop("checked",this.$element.hasClass("active")),a&&c.trigger("change")}else this.$element.attr("aria-pressed",!this.$element.hasClass("active")),this.$element.toggleClass("active")};var d=a.fn.button;a.fn.button=b,a.fn.button.Constructor=c,a.fn.button.noConflict=function(){return a.fn.button=d,this},a(document).on("click.bs.button.data-api",'[data-toggle^="button"]',function(c){var d=a(c.target);d.hasClass("btn")||(d=d.closest(".btn")),b.call(d,"toggle"),a(c.target).is('input[type="radio"]')||a(c.target).is('input[type="checkbox"]')||c.preventDefault()}).on("focus.bs.button.data-api blur.bs.button.data-api",'[data-toggle^="button"]',function(b){a(b.target).closest(".btn").toggleClass("focus",/^focus(in)?$/.test(b.type))})}(jQuery),+function(a){"use strict";function b(b){return this.each(function(){var d=a(this),e=d.data("bs.carousel"),f=a.extend({},c.DEFAULTS,d.data(),"object"==typeof b&&b),g="string"==typeof b?b:f.slide;e||d.data("bs.carousel",e=new c(this,f)),"number"==typeof b?e.to(b):g?e[g]():f.interval&&e.pause().cycle()})}var c=function(b,c){this.$element=a(b),this.$indicators=this.$element.find(".carousel-indicators"),this.options=c,this.paused=null,this.sliding=null,this.interval=null,this.$active=null,this.$items=null,this.options.keyboard&&this.$element.on("keydown.bs.carousel",a.proxy(this.keydown,this)),"hover"==this.options.pause&&!("ontouchstart"in document.documentElement)&&this.$element.on("mouseenter.bs.carousel",a.proxy(this.pause,this)).on("mouseleave.bs.carousel",a.proxy(this.cycle,this))};c.VERSION="3.3.5",c.TRANSITION_DURATION=600,c.DEFAULTS={interval:5e3,pause:"hover",wrap:!0,keyboard:!0},c.prototype.keydown=function(a){if(!/input|textarea/i.test(a.target.tagName)){switch(a.which){case 37:this.prev();break;case 39:this.next();break;default:return}a.preventDefault()}},c.prototype.cycle=function(b){return b||(this.paused=!1),this.interval&&clearInterval(this.interval),this.options.interval&&!this.paused&&(this.interval=setInterval(a.proxy(this.next,this),this.options.interval)),this},c.prototype.getItemIndex=function(a){return this.$items=a.parent().children(".item"),this.$items.index(a||this.$active)},c.prototype.getItemForDirection=function(a,b){var c=this.getItemIndex(b),d="prev"==a&&0===c||"next"==a&&c==this.$items.length-1;if(d&&!this.options.wrap)return b;var e="prev"==a?-1:1,f=(c+e)%this.$items.length;return this.$items.eq(f)},c.prototype.to=function(a){var b=this,c=this.getItemIndex(this.$active=this.$element.find(".item.active"));return a>this.$items.length-1||0>a?void 0:this.sliding?this.$element.one("slid.bs.carousel",function(){b.to(a)}):c==a?this.pause().cycle():this.slide(a>c?"next":"prev",this.$items.eq(a))},c.prototype.pause=function(b){return b||(this.paused=!0),this.$element.find(".next, .prev").length&&a.support.transition&&(this.$element.trigger(a.support.transition.end),this.cycle(!0)),this.interval=clearInterval(this.interval),this},c.prototype.next=function(){return this.sliding?void 0:this.slide("next")},c.prototype.prev=function(){return this.sliding?void 0:this.slide("prev")},c.prototype.slide=function(b,d){var e=this.$element.find(".item.active"),f=d||this.getItemForDirection(b,e),g=this.interval,h="next"==b?"left":"right",i=this;if(f.hasClass("active"))return this.sliding=!1;var j=f[0],k=a.Event("slide.bs.carousel",{relatedTarget:j,direction:h});if(this.$element.trigger(k),!k.isDefaultPrevented()){if(this.sliding=!0,g&&this.pause(),this.$indicators.length){this.$indicators.find(".active").removeClass("active");var l=a(this.$indicators.children()[this.getItemIndex(f)]);l&&l.addClass("active")}var m=a.Event("slid.bs.carousel",{relatedTarget:j,direction:h});return a.support.transition&&this.$element.hasClass("slide")?(f.addClass(b),f[0].offsetWidth,e.addClass(h),f.addClass(h),e.one("bsTransitionEnd",function(){f.removeClass([b,h].join(" ")).addClass("active"),e.removeClass(["active",h].join(" ")),i.sliding=!1,setTimeout(function(){i.$element.trigger(m)},0)}).emulateTransitionEnd(c.TRANSITION_DURATION)):(e.removeClass("active"),f.addClass("active"),this.sliding=!1,this.$element.trigger(m)),g&&this.cycle(),this}};var d=a.fn.carousel;a.fn.carousel=b,a.fn.carousel.Constructor=c,a.fn.carousel.noConflict=function(){return a.fn.carousel=d,this};var e=function(c){var d,e=a(this),f=a(e.attr("data-target")||(d=e.attr("href"))&&d.replace(/.*(?=#[^\s]+$)/,""));if(f.hasClass("carousel")){var g=a.extend({},f.data(),e.data()),h=e.attr("data-slide-to");h&&(g.interval=!1),b.call(f,g),h&&f.data("bs.carousel").to(h),c.preventDefault()}};a(document).on("click.bs.carousel.data-api","[data-slide]",e).on("click.bs.carousel.data-api","[data-slide-to]",e),a(window).on("load",function(){a('[data-ride="carousel"]').each(function(){var c=a(this);b.call(c,c.data())})})}(jQuery),+function(a){"use strict";function b(b){var c,d=b.attr("data-target")||(c=b.attr("href"))&&c.replace(/.*(?=#[^\s]+$)/,"");return a(d)}function c(b){return this.each(function(){var c=a(this),e=c.data("bs.collapse"),f=a.extend({},d.DEFAULTS,c.data(),"object"==typeof b&&b);!e&&f.toggle&&/show|hide/.test(b)&&(f.toggle=!1),e||c.data("bs.collapse",e=new d(this,f)),"string"==typeof b&&e[b]()})}var d=function(b,c){this.$element=a(b),this.options=a.extend({},d.DEFAULTS,c),this.$trigger=a('[data-toggle="collapse"][href="#'+b.id+'"],[data-toggle="collapse"][data-target="#'+b.id+'"]'),this.transitioning=null,this.options.parent?this.$parent=this.getParent():this.addAriaAndCollapsedClass(this.$element,this.$trigger),this.options.toggle&&this.toggle()};d.VERSION="3.3.5",d.TRANSITION_DURATION=350,d.DEFAULTS={toggle:!0},d.prototype.dimension=function(){var a=this.$element.hasClass("width");return a?"width":"height"},d.prototype.show=function(){if(!this.transitioning&&!this.$element.hasClass("in")){var b,e=this.$parent&&this.$parent.children(".panel").children(".in, .collapsing");if(!(e&&e.length&&(b=e.data("bs.collapse"),b&&b.transitioning))){var f=a.Event("show.bs.collapse");if(this.$element.trigger(f),!f.isDefaultPrevented()){e&&e.length&&(c.call(e,"hide"),b||e.data("bs.collapse",null));var g=this.dimension();this.$element.removeClass("collapse").addClass("collapsing")[g](0).attr("aria-expanded",!0),this.$trigger.removeClass("collapsed").attr("aria-expanded",!0),this.transitioning=1;var h=function(){this.$element.removeClass("collapsing").addClass("collapse in")[g](""),this.transitioning=0,this.$element.trigger("shown.bs.collapse")};if(!a.support.transition)return h.call(this);var i=a.camelCase(["scroll",g].join("-"));this.$element.one("bsTransitionEnd",a.proxy(h,this)).emulateTransitionEnd(d.TRANSITION_DURATION)[g](this.$element[0][i])}}}},d.prototype.hide=function(){if(!this.transitioning&&this.$element.hasClass("in")){var b=a.Event("hide.bs.collapse");if(this.$element.trigger(b),!b.isDefaultPrevented()){var c=this.dimension();this.$element[c](this.$element[c]())[0].offsetHeight,this.$element.addClass("collapsing").removeClass("collapse in").attr("aria-expanded",!1),this.$trigger.addClass("collapsed").attr("aria-expanded",!1),this.transitioning=1;var e=function(){this.transitioning=0,this.$element.removeClass("collapsing").addClass("collapse").trigger("hidden.bs.collapse")};return a.support.transition?void this.$element[c](0).one("bsTransitionEnd",a.proxy(e,this)).emulateTransitionEnd(d.TRANSITION_DURATION):e.call(this)}}},d.prototype.toggle=function(){this[this.$element.hasClass("in")?"hide":"show"]()},d.prototype.getParent=function(){return a(this.options.parent).find('[data-toggle="collapse"][data-parent="'+this.options.parent+'"]').each(a.proxy(function(c,d){var e=a(d);this.addAriaAndCollapsedClass(b(e),e)},this)).end()},d.prototype.addAriaAndCollapsedClass=function(a,b){var c=a.hasClass("in");a.attr("aria-expanded",c),b.toggleClass("collapsed",!c).attr("aria-expanded",c)};var e=a.fn.collapse;a.fn.collapse=c,a.fn.collapse.Constructor=d,a.fn.collapse.noConflict=function(){return a.fn.collapse=e,this},a(document).on("click.bs.collapse.data-api",'[data-toggle="collapse"]',function(d){var e=a(this);e.attr("data-target")||d.preventDefault();var f=b(e),g=f.data("bs.collapse"),h=g?"toggle":e.data();c.call(f,h)})}(jQuery),+function(a){"use strict";function b(b){var c=b.attr("data-target");c||(c=b.attr("href"),c=c&&/#[A-Za-z]/.test(c)&&c.replace(/.*(?=#[^\s]*$)/,""));var d=c&&a(c);return d&&d.length?d:b.parent()}function c(c){c&&3===c.which||(a(e).remove(),a(f).each(function(){var d=a(this),e=b(d),f={relatedTarget:this};e.hasClass("open")&&(c&&"click"==c.type&&/input|textarea/i.test(c.target.tagName)&&a.contains(e[0],c.target)||(e.trigger(c=a.Event("hide.bs.dropdown",f)),c.isDefaultPrevented()||(d.attr("aria-expanded","false"),e.removeClass("open").trigger("hidden.bs.dropdown",f))))}))}function d(b){return this.each(function(){var c=a(this),d=c.data("bs.dropdown");d||c.data("bs.dropdown",d=new g(this)),"string"==typeof b&&d[b].call(c)})}var e=".dropdown-backdrop",f='[data-toggle="dropdown"]',g=function(b){a(b).on("click.bs.dropdown",this.toggle)};g.VERSION="3.3.5",g.prototype.toggle=function(d){var e=a(this);if(!e.is(".disabled, :disabled")){var f=b(e),g=f.hasClass("open");if(c(),!g){"ontouchstart"in document.documentElement&&!f.closest(".navbar-nav").length&&a(document.createElement("div")).addClass("dropdown-backdrop").insertAfter(a(this)).on("click",c);var h={relatedTarget:this};if(f.trigger(d=a.Event("show.bs.dropdown",h)),d.isDefaultPrevented())return;e.trigger("focus").attr("aria-expanded","true"),f.toggleClass("open").trigger("shown.bs.dropdown",h)}return!1}},g.prototype.keydown=function(c){if(/(38|40|27|32)/.test(c.which)&&!/input|textarea/i.test(c.target.tagName)){var d=a(this);if(c.preventDefault(),c.stopPropagation(),!d.is(".disabled, :disabled")){var e=b(d),g=e.hasClass("open");if(!g&&27!=c.which||g&&27==c.which)return 27==c.which&&e.find(f).trigger("focus"),d.trigger("click");var h=" li:not(.disabled):visible a",i=e.find(".dropdown-menu"+h);if(i.length){var j=i.index(c.target);38==c.which&&j>0&&j--,40==c.which&&j<i.length-1&&j++,~j||(j=0),i.eq(j).trigger("focus")}}}};var h=a.fn.dropdown;a.fn.dropdown=d,a.fn.dropdown.Constructor=g,a.fn.dropdown.noConflict=function(){return a.fn.dropdown=h,this},a(document).on("click.bs.dropdown.data-api",c).on("click.bs.dropdown.data-api",".dropdown form",function(a){a.stopPropagation()}).on("click.bs.dropdown.data-api",f,g.prototype.toggle).on("keydown.bs.dropdown.data-api",f,g.prototype.keydown).on("keydown.bs.dropdown.data-api",".dropdown-menu",g.prototype.keydown)}(jQuery),+function(a){"use strict";function b(b,d){return this.each(function(){var e=a(this),f=e.data("bs.modal"),g=a.extend({},c.DEFAULTS,e.data(),"object"==typeof b&&b);f||e.data("bs.modal",f=new c(this,g)),"string"==typeof b?f[b](d):g.show&&f.show(d)})}var c=function(b,c){this.options=c,this.$body=a(document.body),this.$element=a(b),this.$dialog=this.$element.find(".modal-dialog"),this.$backdrop=null,this.isShown=null,this.originalBodyPad=null,this.scrollbarWidth=0,this.ignoreBackdropClick=!1,this.options.remote&&this.$element.find(".modal-content").load(this.options.remote,a.proxy(function(){this.$element.trigger("loaded.bs.modal")},this))};c.VERSION="3.3.5",c.TRANSITION_DURATION=300,c.BACKDROP_TRANSITION_DURATION=150,c.DEFAULTS={backdrop:!0,keyboard:!0,show:!0},c.prototype.toggle=function(a){return this.isShown?this.hide():this.show(a)},c.prototype.show=function(b){var d=this,e=a.Event("show.bs.modal",{relatedTarget:b});this.$element.trigger(e),this.isShown||e.isDefaultPrevented()||(this.isShown=!0,this.checkScrollbar(),this.setScrollbar(),this.$body.addClass("modal-open"),this.escape(),this.resize(),this.$element.on("click.dismiss.bs.modal",'[data-dismiss="modal"]',a.proxy(this.hide,this)),this.$dialog.on("mousedown.dismiss.bs.modal",function(){d.$element.one("mouseup.dismiss.bs.modal",function(b){a(b.target).is(d.$element)&&(d.ignoreBackdropClick=!0)})}),this.backdrop(function(){var e=a.support.transition&&d.$element.hasClass("fade");d.$element.parent().length||d.$element.appendTo(d.$body),d.$element.show().scrollTop(0),d.adjustDialog(),e&&d.$element[0].offsetWidth,d.$element.addClass("in"),d.enforceFocus();var f=a.Event("shown.bs.modal",{relatedTarget:b});e?d.$dialog.one("bsTransitionEnd",function(){d.$element.trigger("focus").trigger(f)}).emulateTransitionEnd(c.TRANSITION_DURATION):d.$element.trigger("focus").trigger(f)}))},c.prototype.hide=function(b){b&&b.preventDefault(),b=a.Event("hide.bs.modal"),this.$element.trigger(b),this.isShown&&!b.isDefaultPrevented()&&(this.isShown=!1,this.escape(),this.resize(),a(document).off("focusin.bs.modal"),this.$element.removeClass("in").off("click.dismiss.bs.modal").off("mouseup.dismiss.bs.modal"),this.$dialog.off("mousedown.dismiss.bs.modal"),a.support.transition&&this.$element.hasClass("fade")?this.$element.one("bsTransitionEnd",a.proxy(this.hideModal,this)).emulateTransitionEnd(c.TRANSITION_DURATION):this.hideModal())},c.prototype.enforceFocus=function(){a(document).off("focusin.bs.modal").on("focusin.bs.modal",a.proxy(function(a){this.$element[0]===a.target||this.$element.has(a.target).length||this.$element.trigger("focus")},this))},c.prototype.escape=function(){this.isShown&&this.options.keyboard?this.$element.on("keydown.dismiss.bs.modal",a.proxy(function(a){27==a.which&&this.hide()},this)):this.isShown||this.$element.off("keydown.dismiss.bs.modal")},c.prototype.resize=function(){this.isShown?a(window).on("resize.bs.modal",a.proxy(this.handleUpdate,this)):a(window).off("resize.bs.modal")},c.prototype.hideModal=function(){var a=this;this.$element.hide(),this.backdrop(function(){a.$body.removeClass("modal-open"),a.resetAdjustments(),a.resetScrollbar(),a.$element.trigger("hidden.bs.modal")})},c.prototype.removeBackdrop=function(){this.$backdrop&&this.$backdrop.remove(),this.$backdrop=null},c.prototype.backdrop=function(b){var d=this,e=this.$element.hasClass("fade")?"fade":"";if(this.isShown&&this.options.backdrop){var f=a.support.transition&&e;if(this.$backdrop=a(document.createElement("div")).addClass("modal-backdrop "+e).appendTo(this.$body),this.$element.on("click.dismiss.bs.modal",a.proxy(function(a){return this.ignoreBackdropClick?void(this.ignoreBackdropClick=!1):void(a.target===a.currentTarget&&("static"==this.options.backdrop?this.$element[0].focus():this.hide()))},this)),f&&this.$backdrop[0].offsetWidth,this.$backdrop.addClass("in"),!b)return;f?this.$backdrop.one("bsTransitionEnd",b).emulateTransitionEnd(c.BACKDROP_TRANSITION_DURATION):b()}else if(!this.isShown&&this.$backdrop){this.$backdrop.removeClass("in");var g=function(){d.removeBackdrop(),b&&b()};a.support.transition&&this.$element.hasClass("fade")?this.$backdrop.one("bsTransitionEnd",g).emulateTransitionEnd(c.BACKDROP_TRANSITION_DURATION):g()}else b&&b()},c.prototype.handleUpdate=function(){this.adjustDialog()},c.prototype.adjustDialog=function(){var a=this.$element[0].scrollHeight>document.documentElement.clientHeight;this.$element.css({paddingLeft:!this.bodyIsOverflowing&&a?this.scrollbarWidth:"",paddingRight:this.bodyIsOverflowing&&!a?this.scrollbarWidth:""})},c.prototype.resetAdjustments=function(){this.$element.css({paddingLeft:"",paddingRight:""})},c.prototype.checkScrollbar=function(){var a=window.innerWidth;if(!a){var b=document.documentElement.getBoundingClientRect();a=b.right-Math.abs(b.left)}this.bodyIsOverflowing=document.body.clientWidth<a,this.scrollbarWidth=this.measureScrollbar()},c.prototype.setScrollbar=function(){var a=parseInt(this.$body.css("padding-right")||0,10);this.originalBodyPad=document.body.style.paddingRight||"",this.bodyIsOverflowing&&this.$body.css("padding-right",a+this.scrollbarWidth)},c.prototype.resetScrollbar=function(){this.$body.css("padding-right",this.originalBodyPad)},c.prototype.measureScrollbar=function(){var a=document.createElement("div");a.className="modal-scrollbar-measure",this.$body.append(a);var b=a.offsetWidth-a.clientWidth;return this.$body[0].removeChild(a),b};var d=a.fn.modal;a.fn.modal=b,a.fn.modal.Constructor=c,a.fn.modal.noConflict=function(){return a.fn.modal=d,this},a(document).on("click.bs.modal.data-api",'[data-toggle="modal"]',function(c){var d=a(this),e=d.attr("href"),f=a(d.attr("data-target")||e&&e.replace(/.*(?=#[^\s]+$)/,"")),g=f.data("bs.modal")?"toggle":a.extend({remote:!/#/.test(e)&&e},f.data(),d.data());d.is("a")&&c.preventDefault(),f.one("show.bs.modal",function(a){a.isDefaultPrevented()||f.one("hidden.bs.modal",function(){d.is(":visible")&&d.trigger("focus")})}),b.call(f,g,this)})}(jQuery),+function(a){"use strict";function b(b){return this.each(function(){var d=a(this),e=d.data("bs.tooltip"),f="object"==typeof b&&b;(e||!/destroy|hide/.test(b))&&(e||d.data("bs.tooltip",e=new c(this,f)),"string"==typeof b&&e[b]())})}var c=function(a,b){this.type=null,this.options=null,this.enabled=null,this.timeout=null,this.hoverState=null,this.$element=null,this.inState=null,this.init("tooltip",a,b)};c.VERSION="3.3.5",c.TRANSITION_DURATION=150,c.DEFAULTS={animation:!0,placement:"top",selector:!1,template:'<div class="tooltip" role="tooltip"><div class="tooltip-arrow"></div><div class="tooltip-inner"></div></div>',trigger:"hover focus",title:"",delay:0,html:!1,container:!1,viewport:{selector:"body",padding:0}},c.prototype.init=function(b,c,d){if(this.enabled=!0,this.type=b,this.$element=a(c),this.options=this.getOptions(d),this.$viewport=this.options.viewport&&a(a.isFunction(this.options.viewport)?this.options.viewport.call(this,this.$element):this.options.viewport.selector||this.options.viewport),this.inState={click:!1,hover:!1,focus:!1},this.$element[0]instanceof document.constructor&&!this.options.selector)throw new Error("`selector` option must be specified when initializing "+this.type+" on the window.document object!");for(var e=this.options.trigger.split(" "),f=e.length;f--;){var g=e[f];if("click"==g)this.$element.on("click."+this.type,this.options.selector,a.proxy(this.toggle,this));else if("manual"!=g){var h="hover"==g?"mouseenter":"focusin",i="hover"==g?"mouseleave":"focusout";this.$element.on(h+"."+this.type,this.options.selector,a.proxy(this.enter,this)),this.$element.on(i+"."+this.type,this.options.selector,a.proxy(this.leave,this))}}this.options.selector?this._options=a.extend({},this.options,{trigger:"manual",selector:""}):this.fixTitle()},c.prototype.getDefaults=function(){return c.DEFAULTS},c.prototype.getOptions=function(b){return b=a.extend({},this.getDefaults(),this.$element.data(),b),b.delay&&"number"==typeof b.delay&&(b.delay={show:b.delay,hide:b.delay}),b},c.prototype.getDelegateOptions=function(){var b={},c=this.getDefaults();return this._options&&a.each(this._options,function(a,d){c[a]!=d&&(b[a]=d)}),b},c.prototype.enter=function(b){var c=b instanceof this.constructor?b:a(b.currentTarget).data("bs."+this.type);return c||(c=new this.constructor(b.currentTarget,this.getDelegateOptions()),a(b.currentTarget).data("bs."+this.type,c)),b instanceof a.Event&&(c.inState["focusin"==b.type?"focus":"hover"]=!0),c.tip().hasClass("in")||"in"==c.hoverState?void(c.hoverState="in"):(clearTimeout(c.timeout),c.hoverState="in",c.options.delay&&c.options.delay.show?void(c.timeout=setTimeout(function(){"in"==c.hoverState&&c.show()},c.options.delay.show)):c.show())},c.prototype.isInStateTrue=function(){for(var a in this.inState)if(this.inState[a])return!0;return!1},c.prototype.leave=function(b){var c=b instanceof this.constructor?b:a(b.currentTarget).data("bs."+this.type);return c||(c=new this.constructor(b.currentTarget,this.getDelegateOptions()),a(b.currentTarget).data("bs."+this.type,c)),b instanceof a.Event&&(c.inState["focusout"==b.type?"focus":"hover"]=!1),c.isInStateTrue()?void 0:(clearTimeout(c.timeout),c.hoverState="out",c.options.delay&&c.options.delay.hide?void(c.timeout=setTimeout(function(){"out"==c.hoverState&&c.hide()},c.options.delay.hide)):c.hide())},c.prototype.show=function(){var b=a.Event("show.bs."+this.type);if(this.hasContent()&&this.enabled){this.$element.trigger(b);var d=a.contains(this.$element[0].ownerDocument.documentElement,this.$element[0]);if(b.isDefaultPrevented()||!d)return;var e=this,f=this.tip(),g=this.getUID(this.type);this.setContent(),f.attr("id",g),this.$element.attr("aria-describedby",g),this.options.animation&&f.addClass("fade");var h="function"==typeof this.options.placement?this.options.placement.call(this,f[0],this.$element[0]):this.options.placement,i=/\s?auto?\s?/i,j=i.test(h);j&&(h=h.replace(i,"")||"top"),f.detach().css({top:0,left:0,display:"block"}).addClass(h).data("bs."+this.type,this),this.options.container?f.appendTo(this.options.container):f.insertAfter(this.$element),this.$element.trigger("inserted.bs."+this.type);var k=this.getPosition(),l=f[0].offsetWidth,m=f[0].offsetHeight;if(j){var n=h,o=this.getPosition(this.$viewport);h="bottom"==h&&k.bottom+m>o.bottom?"top":"top"==h&&k.top-m<o.top?"bottom":"right"==h&&k.right+l>o.width?"left":"left"==h&&k.left-l<o.left?"right":h,f.removeClass(n).addClass(h)}var p=this.getCalculatedOffset(h,k,l,m);this.applyPlacement(p,h);var q=function(){var a=e.hoverState;e.$element.trigger("shown.bs."+e.type),e.hoverState=null,"out"==a&&e.leave(e)};a.support.transition&&this.$tip.hasClass("fade")?f.one("bsTransitionEnd",q).emulateTransitionEnd(c.TRANSITION_DURATION):q()}},c.prototype.applyPlacement=function(b,c){var d=this.tip(),e=d[0].offsetWidth,f=d[0].offsetHeight,g=parseInt(d.css("margin-top"),10),h=parseInt(d.css("margin-left"),10);isNaN(g)&&(g=0),isNaN(h)&&(h=0),b.top+=g,b.left+=h,a.offset.setOffset(d[0],a.extend({using:function(a){d.css({top:Math.round(a.top),left:Math.round(a.left)})}},b),0),d.addClass("in");var i=d[0].offsetWidth,j=d[0].offsetHeight;"top"==c&&j!=f&&(b.top=b.top+f-j);var k=this.getViewportAdjustedDelta(c,b,i,j);k.left?b.left+=k.left:b.top+=k.top;var l=/top|bottom/.test(c),m=l?2*k.left-e+i:2*k.top-f+j,n=l?"offsetWidth":"offsetHeight";d.offset(b),this.replaceArrow(m,d[0][n],l)},c.prototype.replaceArrow=function(a,b,c){this.arrow().css(c?"left":"top",50*(1-a/b)+"%").css(c?"top":"left","")},c.prototype.setContent=function(){var a=this.tip(),b=this.getTitle();a.find(".tooltip-inner")[this.options.html?"html":"text"](b),a.removeClass("fade in top bottom left right")},c.prototype.hide=function(b){function d(){"in"!=e.hoverState&&f.detach(),e.$element.removeAttr("aria-describedby").trigger("hidden.bs."+e.type),b&&b()}var e=this,f=a(this.$tip),g=a.Event("hide.bs."+this.type);return this.$element.trigger(g),g.isDefaultPrevented()?void 0:(f.removeClass("in"),a.support.transition&&f.hasClass("fade")?f.one("bsTransitionEnd",d).emulateTransitionEnd(c.TRANSITION_DURATION):d(),this.hoverState=null,this)},c.prototype.fixTitle=function(){var a=this.$element;(a.attr("title")||"string"!=typeof a.attr("data-original-title"))&&a.attr("data-original-title",a.attr("title")||"").attr("title","")},c.prototype.hasContent=function(){return this.getTitle()},c.prototype.getPosition=function(b){b=b||this.$element;var c=b[0],d="BODY"==c.tagName,e=c.getBoundingClientRect();null==e.width&&(e=a.extend({},e,{width:e.right-e.left,height:e.bottom-e.top}));var f=d?{top:0,left:0}:b.offset(),g={scroll:d?document.documentElement.scrollTop||document.body.scrollTop:b.scrollTop()},h=d?{width:a(window).width(),height:a(window).height()}:null;return a.extend({},e,g,h,f)},c.prototype.getCalculatedOffset=function(a,b,c,d){return"bottom"==a?{top:b.top+b.height,left:b.left+b.width/2-c/2}:"top"==a?{top:b.top-d,left:b.left+b.width/2-c/2}:"left"==a?{top:b.top+b.height/2-d/2,left:b.left-c}:{top:b.top+b.height/2-d/2,left:b.left+b.width}},c.prototype.getViewportAdjustedDelta=function(a,b,c,d){var e={top:0,left:0};if(!this.$viewport)return e;var f=this.options.viewport&&this.options.viewport.padding||0,g=this.getPosition(this.$viewport);if(/right|left/.test(a)){var h=b.top-f-g.scroll,i=b.top+f-g.scroll+d;h<g.top?e.top=g.top-h:i>g.top+g.height&&(e.top=g.top+g.height-i)}else{var j=b.left-f,k=b.left+f+c;j<g.left?e.left=g.left-j:k>g.right&&(e.left=g.left+g.width-k)}return e},c.prototype.getTitle=function(){var a,b=this.$element,c=this.options;return a=b.attr("data-original-title")||("function"==typeof c.title?c.title.call(b[0]):c.title)},c.prototype.getUID=function(a){do a+=~~(1e6*Math.random());while(document.getElementById(a));return a},c.prototype.tip=function(){if(!this.$tip&&(this.$tip=a(this.options.template),1!=this.$tip.length))throw new Error(this.type+" `template` option must consist of exactly 1 top-level element!");return this.$tip},c.prototype.arrow=function(){return this.$arrow=this.$arrow||this.tip().find(".tooltip-arrow")},c.prototype.enable=function(){this.enabled=!0},c.prototype.disable=function(){this.enabled=!1},c.prototype.toggleEnabled=function(){this.enabled=!this.enabled},c.prototype.toggle=function(b){var c=this;b&&(c=a(b.currentTarget).data("bs."+this.type),c||(c=new this.constructor(b.currentTarget,this.getDelegateOptions()),a(b.currentTarget).data("bs."+this.type,c))),b?(c.inState.click=!c.inState.click,c.isInStateTrue()?c.enter(c):c.leave(c)):c.tip().hasClass("in")?c.leave(c):c.enter(c)},c.prototype.destroy=function(){var a=this;clearTimeout(this.timeout),this.hide(function(){a.$element.off("."+a.type).removeData("bs."+a.type),a.$tip&&a.$tip.detach(),a.$tip=null,a.$arrow=null,a.$viewport=null})};var d=a.fn.tooltip;a.fn.tooltip=b,a.fn.tooltip.Constructor=c,a.fn.tooltip.noConflict=function(){return a.fn.tooltip=d,this}}(jQuery),+function(a){"use strict";function b(b){return this.each(function(){var d=a(this),e=d.data("bs.popover"),f="object"==typeof b&&b;(e||!/destroy|hide/.test(b))&&(e||d.data("bs.popover",e=new c(this,f)),"string"==typeof b&&e[b]())})}var c=function(a,b){this.init("popover",a,b)};if(!a.fn.tooltip)throw new Error("Popover requires tooltip.js");c.VERSION="3.3.5",c.DEFAULTS=a.extend({},a.fn.tooltip.Constructor.DEFAULTS,{placement:"right",trigger:"click",content:"",template:'<div class="popover" role="tooltip"><div class="arrow"></div><h3 class="popover-title"></h3><div class="popover-content"></div></div>'}),c.prototype=a.extend({},a.fn.tooltip.Constructor.prototype),c.prototype.constructor=c,c.prototype.getDefaults=function(){return c.DEFAULTS},c.prototype.setContent=function(){var a=this.tip(),b=this.getTitle(),c=this.getContent();a.find(".popover-title")[this.options.html?"html":"text"](b),a.find(".popover-content").children().detach().end()[this.options.html?"string"==typeof c?"html":"append":"text"](c),a.removeClass("fade top bottom left right in"),a.find(".popover-title").html()||a.find(".popover-title").hide()},c.prototype.hasContent=function(){return this.getTitle()||this.getContent()},c.prototype.getContent=function(){var a=this.$element,b=this.options;return a.attr("data-content")||("function"==typeof b.content?b.content.call(a[0]):b.content)},c.prototype.arrow=function(){return this.$arrow=this.$arrow||this.tip().find(".arrow")};var d=a.fn.popover;a.fn.popover=b,a.fn.popover.Constructor=c,a.fn.popover.noConflict=function(){return a.fn.popover=d,this}}(jQuery),+function(a){"use strict";function b(c,d){this.$body=a(document.body),this.$scrollElement=a(a(c).is(document.body)?window:c),this.options=a.extend({},b.DEFAULTS,d),this.selector=(this.options.target||"")+" .nav li > a",this.offsets=[],this.targets=[],this.activeTarget=null,this.scrollHeight=0,this.$scrollElement.on("scroll.bs.scrollspy",a.proxy(this.process,this)),this.refresh(),this.process()}function c(c){return this.each(function(){var d=a(this),e=d.data("bs.scrollspy"),f="object"==typeof c&&c;e||d.data("bs.scrollspy",e=new b(this,f)),"string"==typeof c&&e[c]()})}b.VERSION="3.3.5",b.DEFAULTS={offset:10},b.prototype.getScrollHeight=function(){return this.$scrollElement[0].scrollHeight||Math.max(this.$body[0].scrollHeight,document.documentElement.scrollHeight)},b.prototype.refresh=function(){var b=this,c="offset",d=0;this.offsets=[],this.targets=[],this.scrollHeight=this.getScrollHeight(),a.isWindow(this.$scrollElement[0])||(c="position",d=this.$scrollElement.scrollTop()),this.$body.find(this.selector).map(function(){var b=a(this),e=b.data("target")||b.attr("href"),f=/^#./.test(e)&&a(e);return f&&f.length&&f.is(":visible")&&[[f[c]().top+d,e]]||null}).sort(function(a,b){return a[0]-b[0]}).each(function(){b.offsets.push(this[0]),b.targets.push(this[1])})},b.prototype.process=function(){var a,b=this.$scrollElement.scrollTop()+this.options.offset,c=this.getScrollHeight(),d=this.options.offset+c-this.$scrollElement.height(),e=this.offsets,f=this.targets,g=this.activeTarget;if(this.scrollHeight!=c&&this.refresh(),b>=d)return g!=(a=f[f.length-1])&&this.activate(a);if(g&&b<e[0])return this.activeTarget=null,this.clear();for(a=e.length;a--;)g!=f[a]&&b>=e[a]&&(void 0===e[a+1]||b<e[a+1])&&this.activate(f[a])},b.prototype.activate=function(b){this.activeTarget=b,this.clear();var c=this.selector+'[data-target="'+b+'"],'+this.selector+'[href="'+b+'"]',d=a(c).parents("li").addClass("active");d.parent(".dropdown-menu").length&&(d=d.closest("li.dropdown").addClass("active")),
d.trigger("activate.bs.scrollspy")},b.prototype.clear=function(){a(this.selector).parentsUntil(this.options.target,".active").removeClass("active")};var d=a.fn.scrollspy;a.fn.scrollspy=c,a.fn.scrollspy.Constructor=b,a.fn.scrollspy.noConflict=function(){return a.fn.scrollspy=d,this},a(window).on("load.bs.scrollspy.data-api",function(){a('[data-spy="scroll"]').each(function(){var b=a(this);c.call(b,b.data())})})}(jQuery),+function(a){"use strict";function b(b){return this.each(function(){var d=a(this),e=d.data("bs.tab");e||d.data("bs.tab",e=new c(this)),"string"==typeof b&&e[b]()})}var c=function(b){this.element=a(b)};c.VERSION="3.3.5",c.TRANSITION_DURATION=150,c.prototype.show=function(){var b=this.element,c=b.closest("ul:not(.dropdown-menu)"),d=b.data("target");if(d||(d=b.attr("href"),d=d&&d.replace(/.*(?=#[^\s]*$)/,"")),!b.parent("li").hasClass("active")){var e=c.find(".active:last a"),f=a.Event("hide.bs.tab",{relatedTarget:b[0]}),g=a.Event("show.bs.tab",{relatedTarget:e[0]});if(e.trigger(f),b.trigger(g),!g.isDefaultPrevented()&&!f.isDefaultPrevented()){var h=a(d);this.activate(b.closest("li"),c),this.activate(h,h.parent(),function(){e.trigger({type:"hidden.bs.tab",relatedTarget:b[0]}),b.trigger({type:"shown.bs.tab",relatedTarget:e[0]})})}}},c.prototype.activate=function(b,d,e){function f(){g.removeClass("active").find("> .dropdown-menu > .active").removeClass("active").end().find('[data-toggle="tab"]').attr("aria-expanded",!1),b.addClass("active").find('[data-toggle="tab"]').attr("aria-expanded",!0),h?(b[0].offsetWidth,b.addClass("in")):b.removeClass("fade"),b.parent(".dropdown-menu").length&&b.closest("li.dropdown").addClass("active").end().find('[data-toggle="tab"]').attr("aria-expanded",!0),e&&e()}var g=d.find("> .active"),h=e&&a.support.transition&&(g.length&&g.hasClass("fade")||!!d.find("> .fade").length);g.length&&h?g.one("bsTransitionEnd",f).emulateTransitionEnd(c.TRANSITION_DURATION):f(),g.removeClass("in")};var d=a.fn.tab;a.fn.tab=b,a.fn.tab.Constructor=c,a.fn.tab.noConflict=function(){return a.fn.tab=d,this};var e=function(c){c.preventDefault(),b.call(a(this),"show")};a(document).on("click.bs.tab.data-api",'[data-toggle="tab"]',e).on("click.bs.tab.data-api",'[data-toggle="pill"]',e)}(jQuery),+function(a){"use strict";function b(b){return this.each(function(){var d=a(this),e=d.data("bs.affix"),f="object"==typeof b&&b;e||d.data("bs.affix",e=new c(this,f)),"string"==typeof b&&e[b]()})}var c=function(b,d){this.options=a.extend({},c.DEFAULTS,d),this.$target=a(this.options.target).on("scroll.bs.affix.data-api",a.proxy(this.checkPosition,this)).on("click.bs.affix.data-api",a.proxy(this.checkPositionWithEventLoop,this)),this.$element=a(b),this.affixed=null,this.unpin=null,this.pinnedOffset=null,this.checkPosition()};c.VERSION="3.3.5",c.RESET="affix affix-top affix-bottom",c.DEFAULTS={offset:0,target:window},c.prototype.getState=function(a,b,c,d){var e=this.$target.scrollTop(),f=this.$element.offset(),g=this.$target.height();if(null!=c&&"top"==this.affixed)return c>e?"top":!1;if("bottom"==this.affixed)return null!=c?e+this.unpin<=f.top?!1:"bottom":a-d>=e+g?!1:"bottom";var h=null==this.affixed,i=h?e:f.top,j=h?g:b;return null!=c&&c>=e?"top":null!=d&&i+j>=a-d?"bottom":!1},c.prototype.getPinnedOffset=function(){if(this.pinnedOffset)return this.pinnedOffset;this.$element.removeClass(c.RESET).addClass("affix");var a=this.$target.scrollTop(),b=this.$element.offset();return this.pinnedOffset=b.top-a},c.prototype.checkPositionWithEventLoop=function(){setTimeout(a.proxy(this.checkPosition,this),1)},c.prototype.checkPosition=function(){if(this.$element.is(":visible")){var b=this.$element.height(),d=this.options.offset,e=d.top,f=d.bottom,g=Math.max(a(document).height(),a(document.body).height());"object"!=typeof d&&(f=e=d),"function"==typeof e&&(e=d.top(this.$element)),"function"==typeof f&&(f=d.bottom(this.$element));var h=this.getState(g,b,e,f);if(this.affixed!=h){null!=this.unpin&&this.$element.css("top","");var i="affix"+(h?"-"+h:""),j=a.Event(i+".bs.affix");if(this.$element.trigger(j),j.isDefaultPrevented())return;this.affixed=h,this.unpin="bottom"==h?this.getPinnedOffset():null,this.$element.removeClass(c.RESET).addClass(i).trigger(i.replace("affix","affixed")+".bs.affix")}"bottom"==h&&this.$element.offset({top:g-b-f})}};var d=a.fn.affix;a.fn.affix=b,a.fn.affix.Constructor=c,a.fn.affix.noConflict=function(){return a.fn.affix=d,this},a(window).on("load",function(){a('[data-spy="affix"]').each(function(){var c=a(this),d=c.data();d.offset=d.offset||{},null!=d.offsetBottom&&(d.offset.bottom=d.offsetBottom),null!=d.offsetTop&&(d.offset.top=d.offsetTop),b.call(c,d)})})}(jQuery);"></script>
<script src="data:application/javascript;base64,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"></script>
<script src="data:application/javascript;base64,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"></script>
<style>h1 {font-size: 34px;}
       h1.title {font-size: 38px;}
       h2 {font-size: 30px;}
       h3 {font-size: 24px;}
       h4 {font-size: 18px;}
       h5 {font-size: 16px;}
       h6 {font-size: 12px;}
       code {color: inherit; background-color: rgba(0, 0, 0, 0.04);}
       pre:not([class]) { background-color: white }</style>
<script src="data:application/javascript;base64,/*! jQuery UI - v1.11.4 - 2016-01-05
* http://jqueryui.com
* Includes: core.js, widget.js, mouse.js, position.js, draggable.js, droppable.js, resizable.js, selectable.js, sortable.js, accordion.js, autocomplete.js, button.js, dialog.js, menu.js, progressbar.js, selectmenu.js, slider.js, spinner.js, tabs.js, tooltip.js, effect.js, effect-blind.js, effect-bounce.js, effect-clip.js, effect-drop.js, effect-explode.js, effect-fade.js, effect-fold.js, effect-highlight.js, effect-puff.js, effect-pulsate.js, effect-scale.js, effect-shake.js, effect-size.js, effect-slide.js, effect-transfer.js
* Copyright jQuery Foundation and other contributors; Licensed MIT */

(function(e){"function"==typeof define&&define.amd?define(["jquery"],e):e(jQuery)})(function(e){function t(t,s){var n,a,o,r=t.nodeName.toLowerCase();return"area"===r?(n=t.parentNode,a=n.name,t.href&&a&&"map"===n.nodeName.toLowerCase()?(o=e("img[usemap='#"+a+"']")[0],!!o&&i(o)):!1):(/^(input|select|textarea|button|object)$/.test(r)?!t.disabled:"a"===r?t.href||s:s)&&i(t)}function i(t){return e.expr.filters.visible(t)&&!e(t).parents().addBack().filter(function(){return"hidden"===e.css(this,"visibility")}).length}function s(e){return function(){var t=this.element.val();e.apply(this,arguments),this._refresh(),t!==this.element.val()&&this._trigger("change")}}e.ui=e.ui||{},e.extend(e.ui,{version:"1.11.4",keyCode:{BACKSPACE:8,COMMA:188,DELETE:46,DOWN:40,END:35,ENTER:13,ESCAPE:27,HOME:36,LEFT:37,PAGE_DOWN:34,PAGE_UP:33,PERIOD:190,RIGHT:39,SPACE:32,TAB:9,UP:38}}),e.fn.extend({scrollParent:function(t){var i=this.css("position"),s="absolute"===i,n=t?/(auto|scroll|hidden)/:/(auto|scroll)/,a=this.parents().filter(function(){var t=e(this);return s&&"static"===t.css("position")?!1:n.test(t.css("overflow")+t.css("overflow-y")+t.css("overflow-x"))}).eq(0);return"fixed"!==i&&a.length?a:e(this[0].ownerDocument||document)},uniqueId:function(){var e=0;return function(){return this.each(function(){this.id||(this.id="ui-id-"+ ++e)})}}(),removeUniqueId:function(){return this.each(function(){/^ui-id-\d+$/.test(this.id)&&e(this).removeAttr("id")})}}),e.extend(e.expr[":"],{data:e.expr.createPseudo?e.expr.createPseudo(function(t){return function(i){return!!e.data(i,t)}}):function(t,i,s){return!!e.data(t,s[3])},focusable:function(i){return t(i,!isNaN(e.attr(i,"tabindex")))},tabbable:function(i){var s=e.attr(i,"tabindex"),n=isNaN(s);return(n||s>=0)&&t(i,!n)}}),e("<a>").outerWidth(1).jquery||e.each(["Width","Height"],function(t,i){function s(t,i,s,a){return e.each(n,function(){i-=parseFloat(e.css(t,"padding"+this))||0,s&&(i-=parseFloat(e.css(t,"border"+this+"Width"))||0),a&&(i-=parseFloat(e.css(t,"margin"+this))||0)}),i}var n="Width"===i?["Left","Right"]:["Top","Bottom"],a=i.toLowerCase(),o={innerWidth:e.fn.innerWidth,innerHeight:e.fn.innerHeight,outerWidth:e.fn.outerWidth,outerHeight:e.fn.outerHeight};e.fn["inner"+i]=function(t){return void 0===t?o["inner"+i].call(this):this.each(function(){e(this).css(a,s(this,t)+"px")})},e.fn["outer"+i]=function(t,n){return"number"!=typeof t?o["outer"+i].call(this,t):this.each(function(){e(this).css(a,s(this,t,!0,n)+"px")})}}),e.fn.addBack||(e.fn.addBack=function(e){return this.add(null==e?this.prevObject:this.prevObject.filter(e))}),e("<a>").data("a-b","a").removeData("a-b").data("a-b")&&(e.fn.removeData=function(t){return function(i){return arguments.length?t.call(this,e.camelCase(i)):t.call(this)}}(e.fn.removeData)),e.ui.ie=!!/msie [\w.]+/.exec(navigator.userAgent.toLowerCase()),e.fn.extend({focus:function(t){return function(i,s){return"number"==typeof i?this.each(function(){var t=this;setTimeout(function(){e(t).focus(),s&&s.call(t)},i)}):t.apply(this,arguments)}}(e.fn.focus),disableSelection:function(){var e="onselectstart"in document.createElement("div")?"selectstart":"mousedown";return function(){return this.bind(e+".ui-disableSelection",function(e){e.preventDefault()})}}(),enableSelection:function(){return this.unbind(".ui-disableSelection")},zIndex:function(t){if(void 0!==t)return this.css("zIndex",t);if(this.length)for(var i,s,n=e(this[0]);n.length&&n[0]!==document;){if(i=n.css("position"),("absolute"===i||"relative"===i||"fixed"===i)&&(s=parseInt(n.css("zIndex"),10),!isNaN(s)&&0!==s))return s;n=n.parent()}return 0}}),e.ui.plugin={add:function(t,i,s){var n,a=e.ui[t].prototype;for(n in s)a.plugins[n]=a.plugins[n]||[],a.plugins[n].push([i,s[n]])},call:function(e,t,i,s){var n,a=e.plugins[t];if(a&&(s||e.element[0].parentNode&&11!==e.element[0].parentNode.nodeType))for(n=0;a.length>n;n++)e.options[a[n][0]]&&a[n][1].apply(e.element,i)}};var n=0,a=Array.prototype.slice;e.cleanData=function(t){return function(i){var s,n,a;for(a=0;null!=(n=i[a]);a++)try{s=e._data(n,"events"),s&&s.remove&&e(n).triggerHandler("remove")}catch(o){}t(i)}}(e.cleanData),e.widget=function(t,i,s){var n,a,o,r,h={},l=t.split(".")[0];return t=t.split(".")[1],n=l+"-"+t,s||(s=i,i=e.Widget),e.expr[":"][n.toLowerCase()]=function(t){return!!e.data(t,n)},e[l]=e[l]||{},a=e[l][t],o=e[l][t]=function(e,t){return this._createWidget?(arguments.length&&this._createWidget(e,t),void 0):new o(e,t)},e.extend(o,a,{version:s.version,_proto:e.extend({},s),_childConstructors:[]}),r=new i,r.options=e.widget.extend({},r.options),e.each(s,function(t,s){return e.isFunction(s)?(h[t]=function(){var e=function(){return i.prototype[t].apply(this,arguments)},n=function(e){return i.prototype[t].apply(this,e)};return function(){var t,i=this._super,a=this._superApply;return this._super=e,this._superApply=n,t=s.apply(this,arguments),this._super=i,this._superApply=a,t}}(),void 0):(h[t]=s,void 0)}),o.prototype=e.widget.extend(r,{widgetEventPrefix:a?r.widgetEventPrefix||t:t},h,{constructor:o,namespace:l,widgetName:t,widgetFullName:n}),a?(e.each(a._childConstructors,function(t,i){var s=i.prototype;e.widget(s.namespace+"."+s.widgetName,o,i._proto)}),delete a._childConstructors):i._childConstructors.push(o),e.widget.bridge(t,o),o},e.widget.extend=function(t){for(var i,s,n=a.call(arguments,1),o=0,r=n.length;r>o;o++)for(i in n[o])s=n[o][i],n[o].hasOwnProperty(i)&&void 0!==s&&(t[i]=e.isPlainObject(s)?e.isPlainObject(t[i])?e.widget.extend({},t[i],s):e.widget.extend({},s):s);return t},e.widget.bridge=function(t,i){var s=i.prototype.widgetFullName||t;e.fn[t]=function(n){var o="string"==typeof n,r=a.call(arguments,1),h=this;return o?this.each(function(){var i,a=e.data(this,s);return"instance"===n?(h=a,!1):a?e.isFunction(a[n])&&"_"!==n.charAt(0)?(i=a[n].apply(a,r),i!==a&&void 0!==i?(h=i&&i.jquery?h.pushStack(i.get()):i,!1):void 0):e.error("no such method '"+n+"' for "+t+" widget instance"):e.error("cannot call methods on "+t+" prior to initialization; "+"attempted to call method '"+n+"'")}):(r.length&&(n=e.widget.extend.apply(null,[n].concat(r))),this.each(function(){var t=e.data(this,s);t?(t.option(n||{}),t._init&&t._init()):e.data(this,s,new i(n,this))})),h}},e.Widget=function(){},e.Widget._childConstructors=[],e.Widget.prototype={widgetName:"widget",widgetEventPrefix:"",defaultElement:"<div>",options:{disabled:!1,create:null},_createWidget:function(t,i){i=e(i||this.defaultElement||this)[0],this.element=e(i),this.uuid=n++,this.eventNamespace="."+this.widgetName+this.uuid,this.bindings=e(),this.hoverable=e(),this.focusable=e(),i!==this&&(e.data(i,this.widgetFullName,this),this._on(!0,this.element,{remove:function(e){e.target===i&&this.destroy()}}),this.document=e(i.style?i.ownerDocument:i.document||i),this.window=e(this.document[0].defaultView||this.document[0].parentWindow)),this.options=e.widget.extend({},this.options,this._getCreateOptions(),t),this._create(),this._trigger("create",null,this._getCreateEventData()),this._init()},_getCreateOptions:e.noop,_getCreateEventData:e.noop,_create:e.noop,_init:e.noop,destroy:function(){this._destroy(),this.element.unbind(this.eventNamespace).removeData(this.widgetFullName).removeData(e.camelCase(this.widgetFullName)),this.widget().unbind(this.eventNamespace).removeAttr("aria-disabled").removeClass(this.widgetFullName+"-disabled "+"ui-state-disabled"),this.bindings.unbind(this.eventNamespace),this.hoverable.removeClass("ui-state-hover"),this.focusable.removeClass("ui-state-focus")},_destroy:e.noop,widget:function(){return this.element},option:function(t,i){var s,n,a,o=t;if(0===arguments.length)return e.widget.extend({},this.options);if("string"==typeof t)if(o={},s=t.split("."),t=s.shift(),s.length){for(n=o[t]=e.widget.extend({},this.options[t]),a=0;s.length-1>a;a++)n[s[a]]=n[s[a]]||{},n=n[s[a]];if(t=s.pop(),1===arguments.length)return void 0===n[t]?null:n[t];n[t]=i}else{if(1===arguments.length)return void 0===this.options[t]?null:this.options[t];o[t]=i}return this._setOptions(o),this},_setOptions:function(e){var t;for(t in e)this._setOption(t,e[t]);return this},_setOption:function(e,t){return this.options[e]=t,"disabled"===e&&(this.widget().toggleClass(this.widgetFullName+"-disabled",!!t),t&&(this.hoverable.removeClass("ui-state-hover"),this.focusable.removeClass("ui-state-focus"))),this},enable:function(){return this._setOptions({disabled:!1})},disable:function(){return this._setOptions({disabled:!0})},_on:function(t,i,s){var n,a=this;"boolean"!=typeof t&&(s=i,i=t,t=!1),s?(i=n=e(i),this.bindings=this.bindings.add(i)):(s=i,i=this.element,n=this.widget()),e.each(s,function(s,o){function r(){return t||a.options.disabled!==!0&&!e(this).hasClass("ui-state-disabled")?("string"==typeof o?a[o]:o).apply(a,arguments):void 0}"string"!=typeof o&&(r.guid=o.guid=o.guid||r.guid||e.guid++);var h=s.match(/^([\w:-]*)\s*(.*)$/),l=h[1]+a.eventNamespace,u=h[2];u?n.delegate(u,l,r):i.bind(l,r)})},_off:function(t,i){i=(i||"").split(" ").join(this.eventNamespace+" ")+this.eventNamespace,t.unbind(i).undelegate(i),this.bindings=e(this.bindings.not(t).get()),this.focusable=e(this.focusable.not(t).get()),this.hoverable=e(this.hoverable.not(t).get())},_delay:function(e,t){function i(){return("string"==typeof e?s[e]:e).apply(s,arguments)}var s=this;return setTimeout(i,t||0)},_hoverable:function(t){this.hoverable=this.hoverable.add(t),this._on(t,{mouseenter:function(t){e(t.currentTarget).addClass("ui-state-hover")},mouseleave:function(t){e(t.currentTarget).removeClass("ui-state-hover")}})},_focusable:function(t){this.focusable=this.focusable.add(t),this._on(t,{focusin:function(t){e(t.currentTarget).addClass("ui-state-focus")},focusout:function(t){e(t.currentTarget).removeClass("ui-state-focus")}})},_trigger:function(t,i,s){var n,a,o=this.options[t];if(s=s||{},i=e.Event(i),i.type=(t===this.widgetEventPrefix?t:this.widgetEventPrefix+t).toLowerCase(),i.target=this.element[0],a=i.originalEvent)for(n in a)n in i||(i[n]=a[n]);return this.element.trigger(i,s),!(e.isFunction(o)&&o.apply(this.element[0],[i].concat(s))===!1||i.isDefaultPrevented())}},e.each({show:"fadeIn",hide:"fadeOut"},function(t,i){e.Widget.prototype["_"+t]=function(s,n,a){"string"==typeof n&&(n={effect:n});var o,r=n?n===!0||"number"==typeof n?i:n.effect||i:t;n=n||{},"number"==typeof n&&(n={duration:n}),o=!e.isEmptyObject(n),n.complete=a,n.delay&&s.delay(n.delay),o&&e.effects&&e.effects.effect[r]?s[t](n):r!==t&&s[r]?s[r](n.duration,n.easing,a):s.queue(function(i){e(this)[t](),a&&a.call(s[0]),i()})}}),e.widget;var o=!1;e(document).mouseup(function(){o=!1}),e.widget("ui.mouse",{version:"1.11.4",options:{cancel:"input,textarea,button,select,option",distance:1,delay:0},_mouseInit:function(){var t=this;this.element.bind("mousedown."+this.widgetName,function(e){return t._mouseDown(e)}).bind("click."+this.widgetName,function(i){return!0===e.data(i.target,t.widgetName+".preventClickEvent")?(e.removeData(i.target,t.widgetName+".preventClickEvent"),i.stopImmediatePropagation(),!1):void 0}),this.started=!1},_mouseDestroy:function(){this.element.unbind("."+this.widgetName),this._mouseMoveDelegate&&this.document.unbind("mousemove."+this.widgetName,this._mouseMoveDelegate).unbind("mouseup."+this.widgetName,this._mouseUpDelegate)},_mouseDown:function(t){if(!o){this._mouseMoved=!1,this._mouseStarted&&this._mouseUp(t),this._mouseDownEvent=t;var i=this,s=1===t.which,n="string"==typeof this.options.cancel&&t.target.nodeName?e(t.target).closest(this.options.cancel).length:!1;return s&&!n&&this._mouseCapture(t)?(this.mouseDelayMet=!this.options.delay,this.mouseDelayMet||(this._mouseDelayTimer=setTimeout(function(){i.mouseDelayMet=!0},this.options.delay)),this._mouseDistanceMet(t)&&this._mouseDelayMet(t)&&(this._mouseStarted=this._mouseStart(t)!==!1,!this._mouseStarted)?(t.preventDefault(),!0):(!0===e.data(t.target,this.widgetName+".preventClickEvent")&&e.removeData(t.target,this.widgetName+".preventClickEvent"),this._mouseMoveDelegate=function(e){return i._mouseMove(e)},this._mouseUpDelegate=function(e){return i._mouseUp(e)},this.document.bind("mousemove."+this.widgetName,this._mouseMoveDelegate).bind("mouseup."+this.widgetName,this._mouseUpDelegate),t.preventDefault(),o=!0,!0)):!0}},_mouseMove:function(t){if(this._mouseMoved){if(e.ui.ie&&(!document.documentMode||9>document.documentMode)&&!t.button)return this._mouseUp(t);if(!t.which)return this._mouseUp(t)}return(t.which||t.button)&&(this._mouseMoved=!0),this._mouseStarted?(this._mouseDrag(t),t.preventDefault()):(this._mouseDistanceMet(t)&&this._mouseDelayMet(t)&&(this._mouseStarted=this._mouseStart(this._mouseDownEvent,t)!==!1,this._mouseStarted?this._mouseDrag(t):this._mouseUp(t)),!this._mouseStarted)},_mouseUp:function(t){return this.document.unbind("mousemove."+this.widgetName,this._mouseMoveDelegate).unbind("mouseup."+this.widgetName,this._mouseUpDelegate),this._mouseStarted&&(this._mouseStarted=!1,t.target===this._mouseDownEvent.target&&e.data(t.target,this.widgetName+".preventClickEvent",!0),this._mouseStop(t)),o=!1,!1},_mouseDistanceMet:function(e){return Math.max(Math.abs(this._mouseDownEvent.pageX-e.pageX),Math.abs(this._mouseDownEvent.pageY-e.pageY))>=this.options.distance},_mouseDelayMet:function(){return this.mouseDelayMet},_mouseStart:function(){},_mouseDrag:function(){},_mouseStop:function(){},_mouseCapture:function(){return!0}}),function(){function t(e,t,i){return[parseFloat(e[0])*(p.test(e[0])?t/100:1),parseFloat(e[1])*(p.test(e[1])?i/100:1)]}function i(t,i){return parseInt(e.css(t,i),10)||0}function s(t){var i=t[0];return 9===i.nodeType?{width:t.width(),height:t.height(),offset:{top:0,left:0}}:e.isWindow(i)?{width:t.width(),height:t.height(),offset:{top:t.scrollTop(),left:t.scrollLeft()}}:i.preventDefault?{width:0,height:0,offset:{top:i.pageY,left:i.pageX}}:{width:t.outerWidth(),height:t.outerHeight(),offset:t.offset()}}e.ui=e.ui||{};var n,a,o=Math.max,r=Math.abs,h=Math.round,l=/left|center|right/,u=/top|center|bottom/,d=/[\+\-]\d+(\.[\d]+)?%?/,c=/^\w+/,p=/%$/,f=e.fn.position;e.position={scrollbarWidth:function(){if(void 0!==n)return n;var t,i,s=e("<div style='display:block;position:absolute;width:50px;height:50px;overflow:hidden;'><div style='height:100px;width:auto;'></div></div>"),a=s.children()[0];return e("body").append(s),t=a.offsetWidth,s.css("overflow","scroll"),i=a.offsetWidth,t===i&&(i=s[0].clientWidth),s.remove(),n=t-i},getScrollInfo:function(t){var i=t.isWindow||t.isDocument?"":t.element.css("overflow-x"),s=t.isWindow||t.isDocument?"":t.element.css("overflow-y"),n="scroll"===i||"auto"===i&&t.width<t.element[0].scrollWidth,a="scroll"===s||"auto"===s&&t.height<t.element[0].scrollHeight;return{width:a?e.position.scrollbarWidth():0,height:n?e.position.scrollbarWidth():0}},getWithinInfo:function(t){var i=e(t||window),s=e.isWindow(i[0]),n=!!i[0]&&9===i[0].nodeType;return{element:i,isWindow:s,isDocument:n,offset:i.offset()||{left:0,top:0},scrollLeft:i.scrollLeft(),scrollTop:i.scrollTop(),width:s||n?i.width():i.outerWidth(),height:s||n?i.height():i.outerHeight()}}},e.fn.position=function(n){if(!n||!n.of)return f.apply(this,arguments);n=e.extend({},n);var p,m,g,v,y,b,_=e(n.of),x=e.position.getWithinInfo(n.within),w=e.position.getScrollInfo(x),k=(n.collision||"flip").split(" "),T={};return b=s(_),_[0].preventDefault&&(n.at="left top"),m=b.width,g=b.height,v=b.offset,y=e.extend({},v),e.each(["my","at"],function(){var e,t,i=(n[this]||"").split(" ");1===i.length&&(i=l.test(i[0])?i.concat(["center"]):u.test(i[0])?["center"].concat(i):["center","center"]),i[0]=l.test(i[0])?i[0]:"center",i[1]=u.test(i[1])?i[1]:"center",e=d.exec(i[0]),t=d.exec(i[1]),T[this]=[e?e[0]:0,t?t[0]:0],n[this]=[c.exec(i[0])[0],c.exec(i[1])[0]]}),1===k.length&&(k[1]=k[0]),"right"===n.at[0]?y.left+=m:"center"===n.at[0]&&(y.left+=m/2),"bottom"===n.at[1]?y.top+=g:"center"===n.at[1]&&(y.top+=g/2),p=t(T.at,m,g),y.left+=p[0],y.top+=p[1],this.each(function(){var s,l,u=e(this),d=u.outerWidth(),c=u.outerHeight(),f=i(this,"marginLeft"),b=i(this,"marginTop"),D=d+f+i(this,"marginRight")+w.width,S=c+b+i(this,"marginBottom")+w.height,N=e.extend({},y),M=t(T.my,u.outerWidth(),u.outerHeight());"right"===n.my[0]?N.left-=d:"center"===n.my[0]&&(N.left-=d/2),"bottom"===n.my[1]?N.top-=c:"center"===n.my[1]&&(N.top-=c/2),N.left+=M[0],N.top+=M[1],a||(N.left=h(N.left),N.top=h(N.top)),s={marginLeft:f,marginTop:b},e.each(["left","top"],function(t,i){e.ui.position[k[t]]&&e.ui.position[k[t]][i](N,{targetWidth:m,targetHeight:g,elemWidth:d,elemHeight:c,collisionPosition:s,collisionWidth:D,collisionHeight:S,offset:[p[0]+M[0],p[1]+M[1]],my:n.my,at:n.at,within:x,elem:u})}),n.using&&(l=function(e){var t=v.left-N.left,i=t+m-d,s=v.top-N.top,a=s+g-c,h={target:{element:_,left:v.left,top:v.top,width:m,height:g},element:{element:u,left:N.left,top:N.top,width:d,height:c},horizontal:0>i?"left":t>0?"right":"center",vertical:0>a?"top":s>0?"bottom":"middle"};d>m&&m>r(t+i)&&(h.horizontal="center"),c>g&&g>r(s+a)&&(h.vertical="middle"),h.important=o(r(t),r(i))>o(r(s),r(a))?"horizontal":"vertical",n.using.call(this,e,h)}),u.offset(e.extend(N,{using:l}))})},e.ui.position={fit:{left:function(e,t){var i,s=t.within,n=s.isWindow?s.scrollLeft:s.offset.left,a=s.width,r=e.left-t.collisionPosition.marginLeft,h=n-r,l=r+t.collisionWidth-a-n;t.collisionWidth>a?h>0&&0>=l?(i=e.left+h+t.collisionWidth-a-n,e.left+=h-i):e.left=l>0&&0>=h?n:h>l?n+a-t.collisionWidth:n:h>0?e.left+=h:l>0?e.left-=l:e.left=o(e.left-r,e.left)},top:function(e,t){var i,s=t.within,n=s.isWindow?s.scrollTop:s.offset.top,a=t.within.height,r=e.top-t.collisionPosition.marginTop,h=n-r,l=r+t.collisionHeight-a-n;t.collisionHeight>a?h>0&&0>=l?(i=e.top+h+t.collisionHeight-a-n,e.top+=h-i):e.top=l>0&&0>=h?n:h>l?n+a-t.collisionHeight:n:h>0?e.top+=h:l>0?e.top-=l:e.top=o(e.top-r,e.top)}},flip:{left:function(e,t){var i,s,n=t.within,a=n.offset.left+n.scrollLeft,o=n.width,h=n.isWindow?n.scrollLeft:n.offset.left,l=e.left-t.collisionPosition.marginLeft,u=l-h,d=l+t.collisionWidth-o-h,c="left"===t.my[0]?-t.elemWidth:"right"===t.my[0]?t.elemWidth:0,p="left"===t.at[0]?t.targetWidth:"right"===t.at[0]?-t.targetWidth:0,f=-2*t.offset[0];0>u?(i=e.left+c+p+f+t.collisionWidth-o-a,(0>i||r(u)>i)&&(e.left+=c+p+f)):d>0&&(s=e.left-t.collisionPosition.marginLeft+c+p+f-h,(s>0||d>r(s))&&(e.left+=c+p+f))},top:function(e,t){var i,s,n=t.within,a=n.offset.top+n.scrollTop,o=n.height,h=n.isWindow?n.scrollTop:n.offset.top,l=e.top-t.collisionPosition.marginTop,u=l-h,d=l+t.collisionHeight-o-h,c="top"===t.my[1],p=c?-t.elemHeight:"bottom"===t.my[1]?t.elemHeight:0,f="top"===t.at[1]?t.targetHeight:"bottom"===t.at[1]?-t.targetHeight:0,m=-2*t.offset[1];0>u?(s=e.top+p+f+m+t.collisionHeight-o-a,(0>s||r(u)>s)&&(e.top+=p+f+m)):d>0&&(i=e.top-t.collisionPosition.marginTop+p+f+m-h,(i>0||d>r(i))&&(e.top+=p+f+m))}},flipfit:{left:function(){e.ui.position.flip.left.apply(this,arguments),e.ui.position.fit.left.apply(this,arguments)},top:function(){e.ui.position.flip.top.apply(this,arguments),e.ui.position.fit.top.apply(this,arguments)}}},function(){var t,i,s,n,o,r=document.getElementsByTagName("body")[0],h=document.createElement("div");t=document.createElement(r?"div":"body"),s={visibility:"hidden",width:0,height:0,border:0,margin:0,background:"none"},r&&e.extend(s,{position:"absolute",left:"-1000px",top:"-1000px"});for(o in s)t.style[o]=s[o];t.appendChild(h),i=r||document.documentElement,i.insertBefore(t,i.firstChild),h.style.cssText="position: absolute; left: 10.7432222px;",n=e(h).offset().left,a=n>10&&11>n,t.innerHTML="",i.removeChild(t)}()}(),e.ui.position,e.widget("ui.draggable",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"drag",options:{addClasses:!0,appendTo:"parent",axis:!1,connectToSortable:!1,containment:!1,cursor:"auto",cursorAt:!1,grid:!1,handle:!1,helper:"original",iframeFix:!1,opacity:!1,refreshPositions:!1,revert:!1,revertDuration:500,scope:"default",scroll:!0,scrollSensitivity:20,scrollSpeed:20,snap:!1,snapMode:"both",snapTolerance:20,stack:!1,zIndex:!1,drag:null,start:null,stop:null},_create:function(){"original"===this.options.helper&&this._setPositionRelative(),this.options.addClasses&&this.element.addClass("ui-draggable"),this.options.disabled&&this.element.addClass("ui-draggable-disabled"),this._setHandleClassName(),this._mouseInit()},_setOption:function(e,t){this._super(e,t),"handle"===e&&(this._removeHandleClassName(),this._setHandleClassName())},_destroy:function(){return(this.helper||this.element).is(".ui-draggable-dragging")?(this.destroyOnClear=!0,void 0):(this.element.removeClass("ui-draggable ui-draggable-dragging ui-draggable-disabled"),this._removeHandleClassName(),this._mouseDestroy(),void 0)},_mouseCapture:function(t){var i=this.options;return this._blurActiveElement(t),this.helper||i.disabled||e(t.target).closest(".ui-resizable-handle").length>0?!1:(this.handle=this._getHandle(t),this.handle?(this._blockFrames(i.iframeFix===!0?"iframe":i.iframeFix),!0):!1)},_blockFrames:function(t){this.iframeBlocks=this.document.find(t).map(function(){var t=e(this);return e("<div>").css("position","absolute").appendTo(t.parent()).outerWidth(t.outerWidth()).outerHeight(t.outerHeight()).offset(t.offset())[0]})},_unblockFrames:function(){this.iframeBlocks&&(this.iframeBlocks.remove(),delete this.iframeBlocks)},_blurActiveElement:function(t){var i=this.document[0];if(this.handleElement.is(t.target))try{i.activeElement&&"body"!==i.activeElement.nodeName.toLowerCase()&&e(i.activeElement).blur()}catch(s){}},_mouseStart:function(t){var i=this.options;return this.helper=this._createHelper(t),this.helper.addClass("ui-draggable-dragging"),this._cacheHelperProportions(),e.ui.ddmanager&&(e.ui.ddmanager.current=this),this._cacheMargins(),this.cssPosition=this.helper.css("position"),this.scrollParent=this.helper.scrollParent(!0),this.offsetParent=this.helper.offsetParent(),this.hasFixedAncestor=this.helper.parents().filter(function(){return"fixed"===e(this).css("position")}).length>0,this.positionAbs=this.element.offset(),this._refreshOffsets(t),this.originalPosition=this.position=this._generatePosition(t,!1),this.originalPageX=t.pageX,this.originalPageY=t.pageY,i.cursorAt&&this._adjustOffsetFromHelper(i.cursorAt),this._setContainment(),this._trigger("start",t)===!1?(this._clear(),!1):(this._cacheHelperProportions(),e.ui.ddmanager&&!i.dropBehaviour&&e.ui.ddmanager.prepareOffsets(this,t),this._normalizeRightBottom(),this._mouseDrag(t,!0),e.ui.ddmanager&&e.ui.ddmanager.dragStart(this,t),!0)},_refreshOffsets:function(e){this.offset={top:this.positionAbs.top-this.margins.top,left:this.positionAbs.left-this.margins.left,scroll:!1,parent:this._getParentOffset(),relative:this._getRelativeOffset()},this.offset.click={left:e.pageX-this.offset.left,top:e.pageY-this.offset.top}},_mouseDrag:function(t,i){if(this.hasFixedAncestor&&(this.offset.parent=this._getParentOffset()),this.position=this._generatePosition(t,!0),this.positionAbs=this._convertPositionTo("absolute"),!i){var s=this._uiHash();if(this._trigger("drag",t,s)===!1)return this._mouseUp({}),!1;this.position=s.position}return this.helper[0].style.left=this.position.left+"px",this.helper[0].style.top=this.position.top+"px",e.ui.ddmanager&&e.ui.ddmanager.drag(this,t),!1},_mouseStop:function(t){var i=this,s=!1;return e.ui.ddmanager&&!this.options.dropBehaviour&&(s=e.ui.ddmanager.drop(this,t)),this.dropped&&(s=this.dropped,this.dropped=!1),"invalid"===this.options.revert&&!s||"valid"===this.options.revert&&s||this.options.revert===!0||e.isFunction(this.options.revert)&&this.options.revert.call(this.element,s)?e(this.helper).animate(this.originalPosition,parseInt(this.options.revertDuration,10),function(){i._trigger("stop",t)!==!1&&i._clear()}):this._trigger("stop",t)!==!1&&this._clear(),!1},_mouseUp:function(t){return this._unblockFrames(),e.ui.ddmanager&&e.ui.ddmanager.dragStop(this,t),this.handleElement.is(t.target)&&this.element.focus(),e.ui.mouse.prototype._mouseUp.call(this,t)},cancel:function(){return this.helper.is(".ui-draggable-dragging")?this._mouseUp({}):this._clear(),this},_getHandle:function(t){return this.options.handle?!!e(t.target).closest(this.element.find(this.options.handle)).length:!0},_setHandleClassName:function(){this.handleElement=this.options.handle?this.element.find(this.options.handle):this.element,this.handleElement.addClass("ui-draggable-handle")},_removeHandleClassName:function(){this.handleElement.removeClass("ui-draggable-handle")},_createHelper:function(t){var i=this.options,s=e.isFunction(i.helper),n=s?e(i.helper.apply(this.element[0],[t])):"clone"===i.helper?this.element.clone().removeAttr("id"):this.element;return n.parents("body").length||n.appendTo("parent"===i.appendTo?this.element[0].parentNode:i.appendTo),s&&n[0]===this.element[0]&&this._setPositionRelative(),n[0]===this.element[0]||/(fixed|absolute)/.test(n.css("position"))||n.css("position","absolute"),n},_setPositionRelative:function(){/^(?:r|a|f)/.test(this.element.css("position"))||(this.element[0].style.position="relative")},_adjustOffsetFromHelper:function(t){"string"==typeof t&&(t=t.split(" ")),e.isArray(t)&&(t={left:+t[0],top:+t[1]||0}),"left"in t&&(this.offset.click.left=t.left+this.margins.left),"right"in t&&(this.offset.click.left=this.helperProportions.width-t.right+this.margins.left),"top"in t&&(this.offset.click.top=t.top+this.margins.top),"bottom"in t&&(this.offset.click.top=this.helperProportions.height-t.bottom+this.margins.top)},_isRootNode:function(e){return/(html|body)/i.test(e.tagName)||e===this.document[0]},_getParentOffset:function(){var t=this.offsetParent.offset(),i=this.document[0];return"absolute"===this.cssPosition&&this.scrollParent[0]!==i&&e.contains(this.scrollParent[0],this.offsetParent[0])&&(t.left+=this.scrollParent.scrollLeft(),t.top+=this.scrollParent.scrollTop()),this._isRootNode(this.offsetParent[0])&&(t={top:0,left:0}),{top:t.top+(parseInt(this.offsetParent.css("borderTopWidth"),10)||0),left:t.left+(parseInt(this.offsetParent.css("borderLeftWidth"),10)||0)}},_getRelativeOffset:function(){if("relative"!==this.cssPosition)return{top:0,left:0};var e=this.element.position(),t=this._isRootNode(this.scrollParent[0]);return{top:e.top-(parseInt(this.helper.css("top"),10)||0)+(t?0:this.scrollParent.scrollTop()),left:e.left-(parseInt(this.helper.css("left"),10)||0)+(t?0:this.scrollParent.scrollLeft())}},_cacheMargins:function(){this.margins={left:parseInt(this.element.css("marginLeft"),10)||0,top:parseInt(this.element.css("marginTop"),10)||0,right:parseInt(this.element.css("marginRight"),10)||0,bottom:parseInt(this.element.css("marginBottom"),10)||0}},_cacheHelperProportions:function(){this.helperProportions={width:this.helper.outerWidth(),height:this.helper.outerHeight()}},_setContainment:function(){var t,i,s,n=this.options,a=this.document[0];return this.relativeContainer=null,n.containment?"window"===n.containment?(this.containment=[e(window).scrollLeft()-this.offset.relative.left-this.offset.parent.left,e(window).scrollTop()-this.offset.relative.top-this.offset.parent.top,e(window).scrollLeft()+e(window).width()-this.helperProportions.width-this.margins.left,e(window).scrollTop()+(e(window).height()||a.body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top],void 0):"document"===n.containment?(this.containment=[0,0,e(a).width()-this.helperProportions.width-this.margins.left,(e(a).height()||a.body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top],void 0):n.containment.constructor===Array?(this.containment=n.containment,void 0):("parent"===n.containment&&(n.containment=this.helper[0].parentNode),i=e(n.containment),s=i[0],s&&(t=/(scroll|auto)/.test(i.css("overflow")),this.containment=[(parseInt(i.css("borderLeftWidth"),10)||0)+(parseInt(i.css("paddingLeft"),10)||0),(parseInt(i.css("borderTopWidth"),10)||0)+(parseInt(i.css("paddingTop"),10)||0),(t?Math.max(s.scrollWidth,s.offsetWidth):s.offsetWidth)-(parseInt(i.css("borderRightWidth"),10)||0)-(parseInt(i.css("paddingRight"),10)||0)-this.helperProportions.width-this.margins.left-this.margins.right,(t?Math.max(s.scrollHeight,s.offsetHeight):s.offsetHeight)-(parseInt(i.css("borderBottomWidth"),10)||0)-(parseInt(i.css("paddingBottom"),10)||0)-this.helperProportions.height-this.margins.top-this.margins.bottom],this.relativeContainer=i),void 0):(this.containment=null,void 0)},_convertPositionTo:function(e,t){t||(t=this.position);var i="absolute"===e?1:-1,s=this._isRootNode(this.scrollParent[0]);return{top:t.top+this.offset.relative.top*i+this.offset.parent.top*i-("fixed"===this.cssPosition?-this.offset.scroll.top:s?0:this.offset.scroll.top)*i,left:t.left+this.offset.relative.left*i+this.offset.parent.left*i-("fixed"===this.cssPosition?-this.offset.scroll.left:s?0:this.offset.scroll.left)*i}},_generatePosition:function(e,t){var i,s,n,a,o=this.options,r=this._isRootNode(this.scrollParent[0]),h=e.pageX,l=e.pageY;return r&&this.offset.scroll||(this.offset.scroll={top:this.scrollParent.scrollTop(),left:this.scrollParent.scrollLeft()}),t&&(this.containment&&(this.relativeContainer?(s=this.relativeContainer.offset(),i=[this.containment[0]+s.left,this.containment[1]+s.top,this.containment[2]+s.left,this.containment[3]+s.top]):i=this.containment,e.pageX-this.offset.click.left<i[0]&&(h=i[0]+this.offset.click.left),e.pageY-this.offset.click.top<i[1]&&(l=i[1]+this.offset.click.top),e.pageX-this.offset.click.left>i[2]&&(h=i[2]+this.offset.click.left),e.pageY-this.offset.click.top>i[3]&&(l=i[3]+this.offset.click.top)),o.grid&&(n=o.grid[1]?this.originalPageY+Math.round((l-this.originalPageY)/o.grid[1])*o.grid[1]:this.originalPageY,l=i?n-this.offset.click.top>=i[1]||n-this.offset.click.top>i[3]?n:n-this.offset.click.top>=i[1]?n-o.grid[1]:n+o.grid[1]:n,a=o.grid[0]?this.originalPageX+Math.round((h-this.originalPageX)/o.grid[0])*o.grid[0]:this.originalPageX,h=i?a-this.offset.click.left>=i[0]||a-this.offset.click.left>i[2]?a:a-this.offset.click.left>=i[0]?a-o.grid[0]:a+o.grid[0]:a),"y"===o.axis&&(h=this.originalPageX),"x"===o.axis&&(l=this.originalPageY)),{top:l-this.offset.click.top-this.offset.relative.top-this.offset.parent.top+("fixed"===this.cssPosition?-this.offset.scroll.top:r?0:this.offset.scroll.top),left:h-this.offset.click.left-this.offset.relative.left-this.offset.parent.left+("fixed"===this.cssPosition?-this.offset.scroll.left:r?0:this.offset.scroll.left)}},_clear:function(){this.helper.removeClass("ui-draggable-dragging"),this.helper[0]===this.element[0]||this.cancelHelperRemoval||this.helper.remove(),this.helper=null,this.cancelHelperRemoval=!1,this.destroyOnClear&&this.destroy()},_normalizeRightBottom:function(){"y"!==this.options.axis&&"auto"!==this.helper.css("right")&&(this.helper.width(this.helper.width()),this.helper.css("right","auto")),"x"!==this.options.axis&&"auto"!==this.helper.css("bottom")&&(this.helper.height(this.helper.height()),this.helper.css("bottom","auto"))},_trigger:function(t,i,s){return s=s||this._uiHash(),e.ui.plugin.call(this,t,[i,s,this],!0),/^(drag|start|stop)/.test(t)&&(this.positionAbs=this._convertPositionTo("absolute"),s.offset=this.positionAbs),e.Widget.prototype._trigger.call(this,t,i,s)},plugins:{},_uiHash:function(){return{helper:this.helper,position:this.position,originalPosition:this.originalPosition,offset:this.positionAbs}}}),e.ui.plugin.add("draggable","connectToSortable",{start:function(t,i,s){var n=e.extend({},i,{item:s.element});s.sortables=[],e(s.options.connectToSortable).each(function(){var i=e(this).sortable("instance");i&&!i.options.disabled&&(s.sortables.push(i),i.refreshPositions(),i._trigger("activate",t,n))})},stop:function(t,i,s){var n=e.extend({},i,{item:s.element});s.cancelHelperRemoval=!1,e.each(s.sortables,function(){var e=this;e.isOver?(e.isOver=0,s.cancelHelperRemoval=!0,e.cancelHelperRemoval=!1,e._storedCSS={position:e.placeholder.css("position"),top:e.placeholder.css("top"),left:e.placeholder.css("left")},e._mouseStop(t),e.options.helper=e.options._helper):(e.cancelHelperRemoval=!0,e._trigger("deactivate",t,n))})},drag:function(t,i,s){e.each(s.sortables,function(){var n=!1,a=this;a.positionAbs=s.positionAbs,a.helperProportions=s.helperProportions,a.offset.click=s.offset.click,a._intersectsWith(a.containerCache)&&(n=!0,e.each(s.sortables,function(){return this.positionAbs=s.positionAbs,this.helperProportions=s.helperProportions,this.offset.click=s.offset.click,this!==a&&this._intersectsWith(this.containerCache)&&e.contains(a.element[0],this.element[0])&&(n=!1),n
})),n?(a.isOver||(a.isOver=1,s._parent=i.helper.parent(),a.currentItem=i.helper.appendTo(a.element).data("ui-sortable-item",!0),a.options._helper=a.options.helper,a.options.helper=function(){return i.helper[0]},t.target=a.currentItem[0],a._mouseCapture(t,!0),a._mouseStart(t,!0,!0),a.offset.click.top=s.offset.click.top,a.offset.click.left=s.offset.click.left,a.offset.parent.left-=s.offset.parent.left-a.offset.parent.left,a.offset.parent.top-=s.offset.parent.top-a.offset.parent.top,s._trigger("toSortable",t),s.dropped=a.element,e.each(s.sortables,function(){this.refreshPositions()}),s.currentItem=s.element,a.fromOutside=s),a.currentItem&&(a._mouseDrag(t),i.position=a.position)):a.isOver&&(a.isOver=0,a.cancelHelperRemoval=!0,a.options._revert=a.options.revert,a.options.revert=!1,a._trigger("out",t,a._uiHash(a)),a._mouseStop(t,!0),a.options.revert=a.options._revert,a.options.helper=a.options._helper,a.placeholder&&a.placeholder.remove(),i.helper.appendTo(s._parent),s._refreshOffsets(t),i.position=s._generatePosition(t,!0),s._trigger("fromSortable",t),s.dropped=!1,e.each(s.sortables,function(){this.refreshPositions()}))})}}),e.ui.plugin.add("draggable","cursor",{start:function(t,i,s){var n=e("body"),a=s.options;n.css("cursor")&&(a._cursor=n.css("cursor")),n.css("cursor",a.cursor)},stop:function(t,i,s){var n=s.options;n._cursor&&e("body").css("cursor",n._cursor)}}),e.ui.plugin.add("draggable","opacity",{start:function(t,i,s){var n=e(i.helper),a=s.options;n.css("opacity")&&(a._opacity=n.css("opacity")),n.css("opacity",a.opacity)},stop:function(t,i,s){var n=s.options;n._opacity&&e(i.helper).css("opacity",n._opacity)}}),e.ui.plugin.add("draggable","scroll",{start:function(e,t,i){i.scrollParentNotHidden||(i.scrollParentNotHidden=i.helper.scrollParent(!1)),i.scrollParentNotHidden[0]!==i.document[0]&&"HTML"!==i.scrollParentNotHidden[0].tagName&&(i.overflowOffset=i.scrollParentNotHidden.offset())},drag:function(t,i,s){var n=s.options,a=!1,o=s.scrollParentNotHidden[0],r=s.document[0];o!==r&&"HTML"!==o.tagName?(n.axis&&"x"===n.axis||(s.overflowOffset.top+o.offsetHeight-t.pageY<n.scrollSensitivity?o.scrollTop=a=o.scrollTop+n.scrollSpeed:t.pageY-s.overflowOffset.top<n.scrollSensitivity&&(o.scrollTop=a=o.scrollTop-n.scrollSpeed)),n.axis&&"y"===n.axis||(s.overflowOffset.left+o.offsetWidth-t.pageX<n.scrollSensitivity?o.scrollLeft=a=o.scrollLeft+n.scrollSpeed:t.pageX-s.overflowOffset.left<n.scrollSensitivity&&(o.scrollLeft=a=o.scrollLeft-n.scrollSpeed))):(n.axis&&"x"===n.axis||(t.pageY-e(r).scrollTop()<n.scrollSensitivity?a=e(r).scrollTop(e(r).scrollTop()-n.scrollSpeed):e(window).height()-(t.pageY-e(r).scrollTop())<n.scrollSensitivity&&(a=e(r).scrollTop(e(r).scrollTop()+n.scrollSpeed))),n.axis&&"y"===n.axis||(t.pageX-e(r).scrollLeft()<n.scrollSensitivity?a=e(r).scrollLeft(e(r).scrollLeft()-n.scrollSpeed):e(window).width()-(t.pageX-e(r).scrollLeft())<n.scrollSensitivity&&(a=e(r).scrollLeft(e(r).scrollLeft()+n.scrollSpeed)))),a!==!1&&e.ui.ddmanager&&!n.dropBehaviour&&e.ui.ddmanager.prepareOffsets(s,t)}}),e.ui.plugin.add("draggable","snap",{start:function(t,i,s){var n=s.options;s.snapElements=[],e(n.snap.constructor!==String?n.snap.items||":data(ui-draggable)":n.snap).each(function(){var t=e(this),i=t.offset();this!==s.element[0]&&s.snapElements.push({item:this,width:t.outerWidth(),height:t.outerHeight(),top:i.top,left:i.left})})},drag:function(t,i,s){var n,a,o,r,h,l,u,d,c,p,f=s.options,m=f.snapTolerance,g=i.offset.left,v=g+s.helperProportions.width,y=i.offset.top,b=y+s.helperProportions.height;for(c=s.snapElements.length-1;c>=0;c--)h=s.snapElements[c].left-s.margins.left,l=h+s.snapElements[c].width,u=s.snapElements[c].top-s.margins.top,d=u+s.snapElements[c].height,h-m>v||g>l+m||u-m>b||y>d+m||!e.contains(s.snapElements[c].item.ownerDocument,s.snapElements[c].item)?(s.snapElements[c].snapping&&s.options.snap.release&&s.options.snap.release.call(s.element,t,e.extend(s._uiHash(),{snapItem:s.snapElements[c].item})),s.snapElements[c].snapping=!1):("inner"!==f.snapMode&&(n=m>=Math.abs(u-b),a=m>=Math.abs(d-y),o=m>=Math.abs(h-v),r=m>=Math.abs(l-g),n&&(i.position.top=s._convertPositionTo("relative",{top:u-s.helperProportions.height,left:0}).top),a&&(i.position.top=s._convertPositionTo("relative",{top:d,left:0}).top),o&&(i.position.left=s._convertPositionTo("relative",{top:0,left:h-s.helperProportions.width}).left),r&&(i.position.left=s._convertPositionTo("relative",{top:0,left:l}).left)),p=n||a||o||r,"outer"!==f.snapMode&&(n=m>=Math.abs(u-y),a=m>=Math.abs(d-b),o=m>=Math.abs(h-g),r=m>=Math.abs(l-v),n&&(i.position.top=s._convertPositionTo("relative",{top:u,left:0}).top),a&&(i.position.top=s._convertPositionTo("relative",{top:d-s.helperProportions.height,left:0}).top),o&&(i.position.left=s._convertPositionTo("relative",{top:0,left:h}).left),r&&(i.position.left=s._convertPositionTo("relative",{top:0,left:l-s.helperProportions.width}).left)),!s.snapElements[c].snapping&&(n||a||o||r||p)&&s.options.snap.snap&&s.options.snap.snap.call(s.element,t,e.extend(s._uiHash(),{snapItem:s.snapElements[c].item})),s.snapElements[c].snapping=n||a||o||r||p)}}),e.ui.plugin.add("draggable","stack",{start:function(t,i,s){var n,a=s.options,o=e.makeArray(e(a.stack)).sort(function(t,i){return(parseInt(e(t).css("zIndex"),10)||0)-(parseInt(e(i).css("zIndex"),10)||0)});o.length&&(n=parseInt(e(o[0]).css("zIndex"),10)||0,e(o).each(function(t){e(this).css("zIndex",n+t)}),this.css("zIndex",n+o.length))}}),e.ui.plugin.add("draggable","zIndex",{start:function(t,i,s){var n=e(i.helper),a=s.options;n.css("zIndex")&&(a._zIndex=n.css("zIndex")),n.css("zIndex",a.zIndex)},stop:function(t,i,s){var n=s.options;n._zIndex&&e(i.helper).css("zIndex",n._zIndex)}}),e.ui.draggable,e.widget("ui.droppable",{version:"1.11.4",widgetEventPrefix:"drop",options:{accept:"*",activeClass:!1,addClasses:!0,greedy:!1,hoverClass:!1,scope:"default",tolerance:"intersect",activate:null,deactivate:null,drop:null,out:null,over:null},_create:function(){var t,i=this.options,s=i.accept;this.isover=!1,this.isout=!0,this.accept=e.isFunction(s)?s:function(e){return e.is(s)},this.proportions=function(){return arguments.length?(t=arguments[0],void 0):t?t:t={width:this.element[0].offsetWidth,height:this.element[0].offsetHeight}},this._addToManager(i.scope),i.addClasses&&this.element.addClass("ui-droppable")},_addToManager:function(t){e.ui.ddmanager.droppables[t]=e.ui.ddmanager.droppables[t]||[],e.ui.ddmanager.droppables[t].push(this)},_splice:function(e){for(var t=0;e.length>t;t++)e[t]===this&&e.splice(t,1)},_destroy:function(){var t=e.ui.ddmanager.droppables[this.options.scope];this._splice(t),this.element.removeClass("ui-droppable ui-droppable-disabled")},_setOption:function(t,i){if("accept"===t)this.accept=e.isFunction(i)?i:function(e){return e.is(i)};else if("scope"===t){var s=e.ui.ddmanager.droppables[this.options.scope];this._splice(s),this._addToManager(i)}this._super(t,i)},_activate:function(t){var i=e.ui.ddmanager.current;this.options.activeClass&&this.element.addClass(this.options.activeClass),i&&this._trigger("activate",t,this.ui(i))},_deactivate:function(t){var i=e.ui.ddmanager.current;this.options.activeClass&&this.element.removeClass(this.options.activeClass),i&&this._trigger("deactivate",t,this.ui(i))},_over:function(t){var i=e.ui.ddmanager.current;i&&(i.currentItem||i.element)[0]!==this.element[0]&&this.accept.call(this.element[0],i.currentItem||i.element)&&(this.options.hoverClass&&this.element.addClass(this.options.hoverClass),this._trigger("over",t,this.ui(i)))},_out:function(t){var i=e.ui.ddmanager.current;i&&(i.currentItem||i.element)[0]!==this.element[0]&&this.accept.call(this.element[0],i.currentItem||i.element)&&(this.options.hoverClass&&this.element.removeClass(this.options.hoverClass),this._trigger("out",t,this.ui(i)))},_drop:function(t,i){var s=i||e.ui.ddmanager.current,n=!1;return s&&(s.currentItem||s.element)[0]!==this.element[0]?(this.element.find(":data(ui-droppable)").not(".ui-draggable-dragging").each(function(){var i=e(this).droppable("instance");return i.options.greedy&&!i.options.disabled&&i.options.scope===s.options.scope&&i.accept.call(i.element[0],s.currentItem||s.element)&&e.ui.intersect(s,e.extend(i,{offset:i.element.offset()}),i.options.tolerance,t)?(n=!0,!1):void 0}),n?!1:this.accept.call(this.element[0],s.currentItem||s.element)?(this.options.activeClass&&this.element.removeClass(this.options.activeClass),this.options.hoverClass&&this.element.removeClass(this.options.hoverClass),this._trigger("drop",t,this.ui(s)),this.element):!1):!1},ui:function(e){return{draggable:e.currentItem||e.element,helper:e.helper,position:e.position,offset:e.positionAbs}}}),e.ui.intersect=function(){function e(e,t,i){return e>=t&&t+i>e}return function(t,i,s,n){if(!i.offset)return!1;var a=(t.positionAbs||t.position.absolute).left+t.margins.left,o=(t.positionAbs||t.position.absolute).top+t.margins.top,r=a+t.helperProportions.width,h=o+t.helperProportions.height,l=i.offset.left,u=i.offset.top,d=l+i.proportions().width,c=u+i.proportions().height;switch(s){case"fit":return a>=l&&d>=r&&o>=u&&c>=h;case"intersect":return a+t.helperProportions.width/2>l&&d>r-t.helperProportions.width/2&&o+t.helperProportions.height/2>u&&c>h-t.helperProportions.height/2;case"pointer":return e(n.pageY,u,i.proportions().height)&&e(n.pageX,l,i.proportions().width);case"touch":return(o>=u&&c>=o||h>=u&&c>=h||u>o&&h>c)&&(a>=l&&d>=a||r>=l&&d>=r||l>a&&r>d);default:return!1}}}(),e.ui.ddmanager={current:null,droppables:{"default":[]},prepareOffsets:function(t,i){var s,n,a=e.ui.ddmanager.droppables[t.options.scope]||[],o=i?i.type:null,r=(t.currentItem||t.element).find(":data(ui-droppable)").addBack();e:for(s=0;a.length>s;s++)if(!(a[s].options.disabled||t&&!a[s].accept.call(a[s].element[0],t.currentItem||t.element))){for(n=0;r.length>n;n++)if(r[n]===a[s].element[0]){a[s].proportions().height=0;continue e}a[s].visible="none"!==a[s].element.css("display"),a[s].visible&&("mousedown"===o&&a[s]._activate.call(a[s],i),a[s].offset=a[s].element.offset(),a[s].proportions({width:a[s].element[0].offsetWidth,height:a[s].element[0].offsetHeight}))}},drop:function(t,i){var s=!1;return e.each((e.ui.ddmanager.droppables[t.options.scope]||[]).slice(),function(){this.options&&(!this.options.disabled&&this.visible&&e.ui.intersect(t,this,this.options.tolerance,i)&&(s=this._drop.call(this,i)||s),!this.options.disabled&&this.visible&&this.accept.call(this.element[0],t.currentItem||t.element)&&(this.isout=!0,this.isover=!1,this._deactivate.call(this,i)))}),s},dragStart:function(t,i){t.element.parentsUntil("body").bind("scroll.droppable",function(){t.options.refreshPositions||e.ui.ddmanager.prepareOffsets(t,i)})},drag:function(t,i){t.options.refreshPositions&&e.ui.ddmanager.prepareOffsets(t,i),e.each(e.ui.ddmanager.droppables[t.options.scope]||[],function(){if(!this.options.disabled&&!this.greedyChild&&this.visible){var s,n,a,o=e.ui.intersect(t,this,this.options.tolerance,i),r=!o&&this.isover?"isout":o&&!this.isover?"isover":null;r&&(this.options.greedy&&(n=this.options.scope,a=this.element.parents(":data(ui-droppable)").filter(function(){return e(this).droppable("instance").options.scope===n}),a.length&&(s=e(a[0]).droppable("instance"),s.greedyChild="isover"===r)),s&&"isover"===r&&(s.isover=!1,s.isout=!0,s._out.call(s,i)),this[r]=!0,this["isout"===r?"isover":"isout"]=!1,this["isover"===r?"_over":"_out"].call(this,i),s&&"isout"===r&&(s.isout=!1,s.isover=!0,s._over.call(s,i)))}})},dragStop:function(t,i){t.element.parentsUntil("body").unbind("scroll.droppable"),t.options.refreshPositions||e.ui.ddmanager.prepareOffsets(t,i)}},e.ui.droppable,e.widget("ui.resizable",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"resize",options:{alsoResize:!1,animate:!1,animateDuration:"slow",animateEasing:"swing",aspectRatio:!1,autoHide:!1,containment:!1,ghost:!1,grid:!1,handles:"e,s,se",helper:!1,maxHeight:null,maxWidth:null,minHeight:10,minWidth:10,zIndex:90,resize:null,start:null,stop:null},_num:function(e){return parseInt(e,10)||0},_isNumber:function(e){return!isNaN(parseInt(e,10))},_hasScroll:function(t,i){if("hidden"===e(t).css("overflow"))return!1;var s=i&&"left"===i?"scrollLeft":"scrollTop",n=!1;return t[s]>0?!0:(t[s]=1,n=t[s]>0,t[s]=0,n)},_create:function(){var t,i,s,n,a,o=this,r=this.options;if(this.element.addClass("ui-resizable"),e.extend(this,{_aspectRatio:!!r.aspectRatio,aspectRatio:r.aspectRatio,originalElement:this.element,_proportionallyResizeElements:[],_helper:r.helper||r.ghost||r.animate?r.helper||"ui-resizable-helper":null}),this.element[0].nodeName.match(/^(canvas|textarea|input|select|button|img)$/i)&&(this.element.wrap(e("<div class='ui-wrapper' style='overflow: hidden;'></div>").css({position:this.element.css("position"),width:this.element.outerWidth(),height:this.element.outerHeight(),top:this.element.css("top"),left:this.element.css("left")})),this.element=this.element.parent().data("ui-resizable",this.element.resizable("instance")),this.elementIsWrapper=!0,this.element.css({marginLeft:this.originalElement.css("marginLeft"),marginTop:this.originalElement.css("marginTop"),marginRight:this.originalElement.css("marginRight"),marginBottom:this.originalElement.css("marginBottom")}),this.originalElement.css({marginLeft:0,marginTop:0,marginRight:0,marginBottom:0}),this.originalResizeStyle=this.originalElement.css("resize"),this.originalElement.css("resize","none"),this._proportionallyResizeElements.push(this.originalElement.css({position:"static",zoom:1,display:"block"})),this.originalElement.css({margin:this.originalElement.css("margin")}),this._proportionallyResize()),this.handles=r.handles||(e(".ui-resizable-handle",this.element).length?{n:".ui-resizable-n",e:".ui-resizable-e",s:".ui-resizable-s",w:".ui-resizable-w",se:".ui-resizable-se",sw:".ui-resizable-sw",ne:".ui-resizable-ne",nw:".ui-resizable-nw"}:"e,s,se"),this._handles=e(),this.handles.constructor===String)for("all"===this.handles&&(this.handles="n,e,s,w,se,sw,ne,nw"),t=this.handles.split(","),this.handles={},i=0;t.length>i;i++)s=e.trim(t[i]),a="ui-resizable-"+s,n=e("<div class='ui-resizable-handle "+a+"'></div>"),n.css({zIndex:r.zIndex}),"se"===s&&n.addClass("ui-icon ui-icon-gripsmall-diagonal-se"),this.handles[s]=".ui-resizable-"+s,this.element.append(n);this._renderAxis=function(t){var i,s,n,a;t=t||this.element;for(i in this.handles)this.handles[i].constructor===String?this.handles[i]=this.element.children(this.handles[i]).first().show():(this.handles[i].jquery||this.handles[i].nodeType)&&(this.handles[i]=e(this.handles[i]),this._on(this.handles[i],{mousedown:o._mouseDown})),this.elementIsWrapper&&this.originalElement[0].nodeName.match(/^(textarea|input|select|button)$/i)&&(s=e(this.handles[i],this.element),a=/sw|ne|nw|se|n|s/.test(i)?s.outerHeight():s.outerWidth(),n=["padding",/ne|nw|n/.test(i)?"Top":/se|sw|s/.test(i)?"Bottom":/^e$/.test(i)?"Right":"Left"].join(""),t.css(n,a),this._proportionallyResize()),this._handles=this._handles.add(this.handles[i])},this._renderAxis(this.element),this._handles=this._handles.add(this.element.find(".ui-resizable-handle")),this._handles.disableSelection(),this._handles.mouseover(function(){o.resizing||(this.className&&(n=this.className.match(/ui-resizable-(se|sw|ne|nw|n|e|s|w)/i)),o.axis=n&&n[1]?n[1]:"se")}),r.autoHide&&(this._handles.hide(),e(this.element).addClass("ui-resizable-autohide").mouseenter(function(){r.disabled||(e(this).removeClass("ui-resizable-autohide"),o._handles.show())}).mouseleave(function(){r.disabled||o.resizing||(e(this).addClass("ui-resizable-autohide"),o._handles.hide())})),this._mouseInit()},_destroy:function(){this._mouseDestroy();var t,i=function(t){e(t).removeClass("ui-resizable ui-resizable-disabled ui-resizable-resizing").removeData("resizable").removeData("ui-resizable").unbind(".resizable").find(".ui-resizable-handle").remove()};return this.elementIsWrapper&&(i(this.element),t=this.element,this.originalElement.css({position:t.css("position"),width:t.outerWidth(),height:t.outerHeight(),top:t.css("top"),left:t.css("left")}).insertAfter(t),t.remove()),this.originalElement.css("resize",this.originalResizeStyle),i(this.originalElement),this},_mouseCapture:function(t){var i,s,n=!1;for(i in this.handles)s=e(this.handles[i])[0],(s===t.target||e.contains(s,t.target))&&(n=!0);return!this.options.disabled&&n},_mouseStart:function(t){var i,s,n,a=this.options,o=this.element;return this.resizing=!0,this._renderProxy(),i=this._num(this.helper.css("left")),s=this._num(this.helper.css("top")),a.containment&&(i+=e(a.containment).scrollLeft()||0,s+=e(a.containment).scrollTop()||0),this.offset=this.helper.offset(),this.position={left:i,top:s},this.size=this._helper?{width:this.helper.width(),height:this.helper.height()}:{width:o.width(),height:o.height()},this.originalSize=this._helper?{width:o.outerWidth(),height:o.outerHeight()}:{width:o.width(),height:o.height()},this.sizeDiff={width:o.outerWidth()-o.width(),height:o.outerHeight()-o.height()},this.originalPosition={left:i,top:s},this.originalMousePosition={left:t.pageX,top:t.pageY},this.aspectRatio="number"==typeof a.aspectRatio?a.aspectRatio:this.originalSize.width/this.originalSize.height||1,n=e(".ui-resizable-"+this.axis).css("cursor"),e("body").css("cursor","auto"===n?this.axis+"-resize":n),o.addClass("ui-resizable-resizing"),this._propagate("start",t),!0},_mouseDrag:function(t){var i,s,n=this.originalMousePosition,a=this.axis,o=t.pageX-n.left||0,r=t.pageY-n.top||0,h=this._change[a];return this._updatePrevProperties(),h?(i=h.apply(this,[t,o,r]),this._updateVirtualBoundaries(t.shiftKey),(this._aspectRatio||t.shiftKey)&&(i=this._updateRatio(i,t)),i=this._respectSize(i,t),this._updateCache(i),this._propagate("resize",t),s=this._applyChanges(),!this._helper&&this._proportionallyResizeElements.length&&this._proportionallyResize(),e.isEmptyObject(s)||(this._updatePrevProperties(),this._trigger("resize",t,this.ui()),this._applyChanges()),!1):!1},_mouseStop:function(t){this.resizing=!1;var i,s,n,a,o,r,h,l=this.options,u=this;return this._helper&&(i=this._proportionallyResizeElements,s=i.length&&/textarea/i.test(i[0].nodeName),n=s&&this._hasScroll(i[0],"left")?0:u.sizeDiff.height,a=s?0:u.sizeDiff.width,o={width:u.helper.width()-a,height:u.helper.height()-n},r=parseInt(u.element.css("left"),10)+(u.position.left-u.originalPosition.left)||null,h=parseInt(u.element.css("top"),10)+(u.position.top-u.originalPosition.top)||null,l.animate||this.element.css(e.extend(o,{top:h,left:r})),u.helper.height(u.size.height),u.helper.width(u.size.width),this._helper&&!l.animate&&this._proportionallyResize()),e("body").css("cursor","auto"),this.element.removeClass("ui-resizable-resizing"),this._propagate("stop",t),this._helper&&this.helper.remove(),!1},_updatePrevProperties:function(){this.prevPosition={top:this.position.top,left:this.position.left},this.prevSize={width:this.size.width,height:this.size.height}},_applyChanges:function(){var e={};return this.position.top!==this.prevPosition.top&&(e.top=this.position.top+"px"),this.position.left!==this.prevPosition.left&&(e.left=this.position.left+"px"),this.size.width!==this.prevSize.width&&(e.width=this.size.width+"px"),this.size.height!==this.prevSize.height&&(e.height=this.size.height+"px"),this.helper.css(e),e},_updateVirtualBoundaries:function(e){var t,i,s,n,a,o=this.options;a={minWidth:this._isNumber(o.minWidth)?o.minWidth:0,maxWidth:this._isNumber(o.maxWidth)?o.maxWidth:1/0,minHeight:this._isNumber(o.minHeight)?o.minHeight:0,maxHeight:this._isNumber(o.maxHeight)?o.maxHeight:1/0},(this._aspectRatio||e)&&(t=a.minHeight*this.aspectRatio,s=a.minWidth/this.aspectRatio,i=a.maxHeight*this.aspectRatio,n=a.maxWidth/this.aspectRatio,t>a.minWidth&&(a.minWidth=t),s>a.minHeight&&(a.minHeight=s),a.maxWidth>i&&(a.maxWidth=i),a.maxHeight>n&&(a.maxHeight=n)),this._vBoundaries=a},_updateCache:function(e){this.offset=this.helper.offset(),this._isNumber(e.left)&&(this.position.left=e.left),this._isNumber(e.top)&&(this.position.top=e.top),this._isNumber(e.height)&&(this.size.height=e.height),this._isNumber(e.width)&&(this.size.width=e.width)},_updateRatio:function(e){var t=this.position,i=this.size,s=this.axis;return this._isNumber(e.height)?e.width=e.height*this.aspectRatio:this._isNumber(e.width)&&(e.height=e.width/this.aspectRatio),"sw"===s&&(e.left=t.left+(i.width-e.width),e.top=null),"nw"===s&&(e.top=t.top+(i.height-e.height),e.left=t.left+(i.width-e.width)),e},_respectSize:function(e){var t=this._vBoundaries,i=this.axis,s=this._isNumber(e.width)&&t.maxWidth&&t.maxWidth<e.width,n=this._isNumber(e.height)&&t.maxHeight&&t.maxHeight<e.height,a=this._isNumber(e.width)&&t.minWidth&&t.minWidth>e.width,o=this._isNumber(e.height)&&t.minHeight&&t.minHeight>e.height,r=this.originalPosition.left+this.originalSize.width,h=this.position.top+this.size.height,l=/sw|nw|w/.test(i),u=/nw|ne|n/.test(i);return a&&(e.width=t.minWidth),o&&(e.height=t.minHeight),s&&(e.width=t.maxWidth),n&&(e.height=t.maxHeight),a&&l&&(e.left=r-t.minWidth),s&&l&&(e.left=r-t.maxWidth),o&&u&&(e.top=h-t.minHeight),n&&u&&(e.top=h-t.maxHeight),e.width||e.height||e.left||!e.top?e.width||e.height||e.top||!e.left||(e.left=null):e.top=null,e},_getPaddingPlusBorderDimensions:function(e){for(var t=0,i=[],s=[e.css("borderTopWidth"),e.css("borderRightWidth"),e.css("borderBottomWidth"),e.css("borderLeftWidth")],n=[e.css("paddingTop"),e.css("paddingRight"),e.css("paddingBottom"),e.css("paddingLeft")];4>t;t++)i[t]=parseInt(s[t],10)||0,i[t]+=parseInt(n[t],10)||0;return{height:i[0]+i[2],width:i[1]+i[3]}},_proportionallyResize:function(){if(this._proportionallyResizeElements.length)for(var e,t=0,i=this.helper||this.element;this._proportionallyResizeElements.length>t;t++)e=this._proportionallyResizeElements[t],this.outerDimensions||(this.outerDimensions=this._getPaddingPlusBorderDimensions(e)),e.css({height:i.height()-this.outerDimensions.height||0,width:i.width()-this.outerDimensions.width||0})},_renderProxy:function(){var t=this.element,i=this.options;this.elementOffset=t.offset(),this._helper?(this.helper=this.helper||e("<div style='overflow:hidden;'></div>"),this.helper.addClass(this._helper).css({width:this.element.outerWidth()-1,height:this.element.outerHeight()-1,position:"absolute",left:this.elementOffset.left+"px",top:this.elementOffset.top+"px",zIndex:++i.zIndex}),this.helper.appendTo("body").disableSelection()):this.helper=this.element},_change:{e:function(e,t){return{width:this.originalSize.width+t}},w:function(e,t){var i=this.originalSize,s=this.originalPosition;return{left:s.left+t,width:i.width-t}},n:function(e,t,i){var s=this.originalSize,n=this.originalPosition;return{top:n.top+i,height:s.height-i}},s:function(e,t,i){return{height:this.originalSize.height+i}},se:function(t,i,s){return e.extend(this._change.s.apply(this,arguments),this._change.e.apply(this,[t,i,s]))},sw:function(t,i,s){return e.extend(this._change.s.apply(this,arguments),this._change.w.apply(this,[t,i,s]))},ne:function(t,i,s){return e.extend(this._change.n.apply(this,arguments),this._change.e.apply(this,[t,i,s]))},nw:function(t,i,s){return e.extend(this._change.n.apply(this,arguments),this._change.w.apply(this,[t,i,s]))}},_propagate:function(t,i){e.ui.plugin.call(this,t,[i,this.ui()]),"resize"!==t&&this._trigger(t,i,this.ui())},plugins:{},ui:function(){return{originalElement:this.originalElement,element:this.element,helper:this.helper,position:this.position,size:this.size,originalSize:this.originalSize,originalPosition:this.originalPosition}}}),e.ui.plugin.add("resizable","animate",{stop:function(t){var i=e(this).resizable("instance"),s=i.options,n=i._proportionallyResizeElements,a=n.length&&/textarea/i.test(n[0].nodeName),o=a&&i._hasScroll(n[0],"left")?0:i.sizeDiff.height,r=a?0:i.sizeDiff.width,h={width:i.size.width-r,height:i.size.height-o},l=parseInt(i.element.css("left"),10)+(i.position.left-i.originalPosition.left)||null,u=parseInt(i.element.css("top"),10)+(i.position.top-i.originalPosition.top)||null;i.element.animate(e.extend(h,u&&l?{top:u,left:l}:{}),{duration:s.animateDuration,easing:s.animateEasing,step:function(){var s={width:parseInt(i.element.css("width"),10),height:parseInt(i.element.css("height"),10),top:parseInt(i.element.css("top"),10),left:parseInt(i.element.css("left"),10)};n&&n.length&&e(n[0]).css({width:s.width,height:s.height}),i._updateCache(s),i._propagate("resize",t)}})}}),e.ui.plugin.add("resizable","containment",{start:function(){var t,i,s,n,a,o,r,h=e(this).resizable("instance"),l=h.options,u=h.element,d=l.containment,c=d instanceof e?d.get(0):/parent/.test(d)?u.parent().get(0):d;c&&(h.containerElement=e(c),/document/.test(d)||d===document?(h.containerOffset={left:0,top:0},h.containerPosition={left:0,top:0},h.parentData={element:e(document),left:0,top:0,width:e(document).width(),height:e(document).height()||document.body.parentNode.scrollHeight}):(t=e(c),i=[],e(["Top","Right","Left","Bottom"]).each(function(e,s){i[e]=h._num(t.css("padding"+s))}),h.containerOffset=t.offset(),h.containerPosition=t.position(),h.containerSize={height:t.innerHeight()-i[3],width:t.innerWidth()-i[1]},s=h.containerOffset,n=h.containerSize.height,a=h.containerSize.width,o=h._hasScroll(c,"left")?c.scrollWidth:a,r=h._hasScroll(c)?c.scrollHeight:n,h.parentData={element:c,left:s.left,top:s.top,width:o,height:r}))},resize:function(t){var i,s,n,a,o=e(this).resizable("instance"),r=o.options,h=o.containerOffset,l=o.position,u=o._aspectRatio||t.shiftKey,d={top:0,left:0},c=o.containerElement,p=!0;c[0]!==document&&/static/.test(c.css("position"))&&(d=h),l.left<(o._helper?h.left:0)&&(o.size.width=o.size.width+(o._helper?o.position.left-h.left:o.position.left-d.left),u&&(o.size.height=o.size.width/o.aspectRatio,p=!1),o.position.left=r.helper?h.left:0),l.top<(o._helper?h.top:0)&&(o.size.height=o.size.height+(o._helper?o.position.top-h.top:o.position.top),u&&(o.size.width=o.size.height*o.aspectRatio,p=!1),o.position.top=o._helper?h.top:0),n=o.containerElement.get(0)===o.element.parent().get(0),a=/relative|absolute/.test(o.containerElement.css("position")),n&&a?(o.offset.left=o.parentData.left+o.position.left,o.offset.top=o.parentData.top+o.position.top):(o.offset.left=o.element.offset().left,o.offset.top=o.element.offset().top),i=Math.abs(o.sizeDiff.width+(o._helper?o.offset.left-d.left:o.offset.left-h.left)),s=Math.abs(o.sizeDiff.height+(o._helper?o.offset.top-d.top:o.offset.top-h.top)),i+o.size.width>=o.parentData.width&&(o.size.width=o.parentData.width-i,u&&(o.size.height=o.size.width/o.aspectRatio,p=!1)),s+o.size.height>=o.parentData.height&&(o.size.height=o.parentData.height-s,u&&(o.size.width=o.size.height*o.aspectRatio,p=!1)),p||(o.position.left=o.prevPosition.left,o.position.top=o.prevPosition.top,o.size.width=o.prevSize.width,o.size.height=o.prevSize.height)},stop:function(){var t=e(this).resizable("instance"),i=t.options,s=t.containerOffset,n=t.containerPosition,a=t.containerElement,o=e(t.helper),r=o.offset(),h=o.outerWidth()-t.sizeDiff.width,l=o.outerHeight()-t.sizeDiff.height;t._helper&&!i.animate&&/relative/.test(a.css("position"))&&e(this).css({left:r.left-n.left-s.left,width:h,height:l}),t._helper&&!i.animate&&/static/.test(a.css("position"))&&e(this).css({left:r.left-n.left-s.left,width:h,height:l})}}),e.ui.plugin.add("resizable","alsoResize",{start:function(){var t=e(this).resizable("instance"),i=t.options;e(i.alsoResize).each(function(){var t=e(this);t.data("ui-resizable-alsoresize",{width:parseInt(t.width(),10),height:parseInt(t.height(),10),left:parseInt(t.css("left"),10),top:parseInt(t.css("top"),10)})})},resize:function(t,i){var s=e(this).resizable("instance"),n=s.options,a=s.originalSize,o=s.originalPosition,r={height:s.size.height-a.height||0,width:s.size.width-a.width||0,top:s.position.top-o.top||0,left:s.position.left-o.left||0};e(n.alsoResize).each(function(){var t=e(this),s=e(this).data("ui-resizable-alsoresize"),n={},a=t.parents(i.originalElement[0]).length?["width","height"]:["width","height","top","left"];e.each(a,function(e,t){var i=(s[t]||0)+(r[t]||0);i&&i>=0&&(n[t]=i||null)}),t.css(n)})},stop:function(){e(this).removeData("resizable-alsoresize")}}),e.ui.plugin.add("resizable","ghost",{start:function(){var t=e(this).resizable("instance"),i=t.options,s=t.size;t.ghost=t.originalElement.clone(),t.ghost.css({opacity:.25,display:"block",position:"relative",height:s.height,width:s.width,margin:0,left:0,top:0}).addClass("ui-resizable-ghost").addClass("string"==typeof i.ghost?i.ghost:""),t.ghost.appendTo(t.helper)},resize:function(){var t=e(this).resizable("instance");t.ghost&&t.ghost.css({position:"relative",height:t.size.height,width:t.size.width})},stop:function(){var t=e(this).resizable("instance");t.ghost&&t.helper&&t.helper.get(0).removeChild(t.ghost.get(0))}}),e.ui.plugin.add("resizable","grid",{resize:function(){var t,i=e(this).resizable("instance"),s=i.options,n=i.size,a=i.originalSize,o=i.originalPosition,r=i.axis,h="number"==typeof s.grid?[s.grid,s.grid]:s.grid,l=h[0]||1,u=h[1]||1,d=Math.round((n.width-a.width)/l)*l,c=Math.round((n.height-a.height)/u)*u,p=a.width+d,f=a.height+c,m=s.maxWidth&&p>s.maxWidth,g=s.maxHeight&&f>s.maxHeight,v=s.minWidth&&s.minWidth>p,y=s.minHeight&&s.minHeight>f;s.grid=h,v&&(p+=l),y&&(f+=u),m&&(p-=l),g&&(f-=u),/^(se|s|e)$/.test(r)?(i.size.width=p,i.size.height=f):/^(ne)$/.test(r)?(i.size.width=p,i.size.height=f,i.position.top=o.top-c):/^(sw)$/.test(r)?(i.size.width=p,i.size.height=f,i.position.left=o.left-d):((0>=f-u||0>=p-l)&&(t=i._getPaddingPlusBorderDimensions(this)),f-u>0?(i.size.height=f,i.position.top=o.top-c):(f=u-t.height,i.size.height=f,i.position.top=o.top+a.height-f),p-l>0?(i.size.width=p,i.position.left=o.left-d):(p=l-t.width,i.size.width=p,i.position.left=o.left+a.width-p))}}),e.ui.resizable,e.widget("ui.selectable",e.ui.mouse,{version:"1.11.4",options:{appendTo:"body",autoRefresh:!0,distance:0,filter:"*",tolerance:"touch",selected:null,selecting:null,start:null,stop:null,unselected:null,unselecting:null},_create:function(){var t,i=this;this.element.addClass("ui-selectable"),this.dragged=!1,this.refresh=function(){t=e(i.options.filter,i.element[0]),t.addClass("ui-selectee"),t.each(function(){var t=e(this),i=t.offset();e.data(this,"selectable-item",{element:this,$element:t,left:i.left,top:i.top,right:i.left+t.outerWidth(),bottom:i.top+t.outerHeight(),startselected:!1,selected:t.hasClass("ui-selected"),selecting:t.hasClass("ui-selecting"),unselecting:t.hasClass("ui-unselecting")})})},this.refresh(),this.selectees=t.addClass("ui-selectee"),this._mouseInit(),this.helper=e("<div class='ui-selectable-helper'></div>")},_destroy:function(){this.selectees.removeClass("ui-selectee").removeData("selectable-item"),this.element.removeClass("ui-selectable ui-selectable-disabled"),this._mouseDestroy()},_mouseStart:function(t){var i=this,s=this.options;this.opos=[t.pageX,t.pageY],this.options.disabled||(this.selectees=e(s.filter,this.element[0]),this._trigger("start",t),e(s.appendTo).append(this.helper),this.helper.css({left:t.pageX,top:t.pageY,width:0,height:0}),s.autoRefresh&&this.refresh(),this.selectees.filter(".ui-selected").each(function(){var s=e.data(this,"selectable-item");s.startselected=!0,t.metaKey||t.ctrlKey||(s.$element.removeClass("ui-selected"),s.selected=!1,s.$element.addClass("ui-unselecting"),s.unselecting=!0,i._trigger("unselecting",t,{unselecting:s.element}))}),e(t.target).parents().addBack().each(function(){var s,n=e.data(this,"selectable-item");return n?(s=!t.metaKey&&!t.ctrlKey||!n.$element.hasClass("ui-selected"),n.$element.removeClass(s?"ui-unselecting":"ui-selected").addClass(s?"ui-selecting":"ui-unselecting"),n.unselecting=!s,n.selecting=s,n.selected=s,s?i._trigger("selecting",t,{selecting:n.element}):i._trigger("unselecting",t,{unselecting:n.element}),!1):void 0}))},_mouseDrag:function(t){if(this.dragged=!0,!this.options.disabled){var i,s=this,n=this.options,a=this.opos[0],o=this.opos[1],r=t.pageX,h=t.pageY;return a>r&&(i=r,r=a,a=i),o>h&&(i=h,h=o,o=i),this.helper.css({left:a,top:o,width:r-a,height:h-o}),this.selectees.each(function(){var i=e.data(this,"selectable-item"),l=!1;
i&&i.element!==s.element[0]&&("touch"===n.tolerance?l=!(i.left>r||a>i.right||i.top>h||o>i.bottom):"fit"===n.tolerance&&(l=i.left>a&&r>i.right&&i.top>o&&h>i.bottom),l?(i.selected&&(i.$element.removeClass("ui-selected"),i.selected=!1),i.unselecting&&(i.$element.removeClass("ui-unselecting"),i.unselecting=!1),i.selecting||(i.$element.addClass("ui-selecting"),i.selecting=!0,s._trigger("selecting",t,{selecting:i.element}))):(i.selecting&&((t.metaKey||t.ctrlKey)&&i.startselected?(i.$element.removeClass("ui-selecting"),i.selecting=!1,i.$element.addClass("ui-selected"),i.selected=!0):(i.$element.removeClass("ui-selecting"),i.selecting=!1,i.startselected&&(i.$element.addClass("ui-unselecting"),i.unselecting=!0),s._trigger("unselecting",t,{unselecting:i.element}))),i.selected&&(t.metaKey||t.ctrlKey||i.startselected||(i.$element.removeClass("ui-selected"),i.selected=!1,i.$element.addClass("ui-unselecting"),i.unselecting=!0,s._trigger("unselecting",t,{unselecting:i.element})))))}),!1}},_mouseStop:function(t){var i=this;return this.dragged=!1,e(".ui-unselecting",this.element[0]).each(function(){var s=e.data(this,"selectable-item");s.$element.removeClass("ui-unselecting"),s.unselecting=!1,s.startselected=!1,i._trigger("unselected",t,{unselected:s.element})}),e(".ui-selecting",this.element[0]).each(function(){var s=e.data(this,"selectable-item");s.$element.removeClass("ui-selecting").addClass("ui-selected"),s.selecting=!1,s.selected=!0,s.startselected=!0,i._trigger("selected",t,{selected:s.element})}),this._trigger("stop",t),this.helper.remove(),!1}}),e.widget("ui.sortable",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"sort",ready:!1,options:{appendTo:"parent",axis:!1,connectWith:!1,containment:!1,cursor:"auto",cursorAt:!1,dropOnEmpty:!0,forcePlaceholderSize:!1,forceHelperSize:!1,grid:!1,handle:!1,helper:"original",items:"> *",opacity:!1,placeholder:!1,revert:!1,scroll:!0,scrollSensitivity:20,scrollSpeed:20,scope:"default",tolerance:"intersect",zIndex:1e3,activate:null,beforeStop:null,change:null,deactivate:null,out:null,over:null,receive:null,remove:null,sort:null,start:null,stop:null,update:null},_isOverAxis:function(e,t,i){return e>=t&&t+i>e},_isFloating:function(e){return/left|right/.test(e.css("float"))||/inline|table-cell/.test(e.css("display"))},_create:function(){this.containerCache={},this.element.addClass("ui-sortable"),this.refresh(),this.offset=this.element.offset(),this._mouseInit(),this._setHandleClassName(),this.ready=!0},_setOption:function(e,t){this._super(e,t),"handle"===e&&this._setHandleClassName()},_setHandleClassName:function(){this.element.find(".ui-sortable-handle").removeClass("ui-sortable-handle"),e.each(this.items,function(){(this.instance.options.handle?this.item.find(this.instance.options.handle):this.item).addClass("ui-sortable-handle")})},_destroy:function(){this.element.removeClass("ui-sortable ui-sortable-disabled").find(".ui-sortable-handle").removeClass("ui-sortable-handle"),this._mouseDestroy();for(var e=this.items.length-1;e>=0;e--)this.items[e].item.removeData(this.widgetName+"-item");return this},_mouseCapture:function(t,i){var s=null,n=!1,a=this;return this.reverting?!1:this.options.disabled||"static"===this.options.type?!1:(this._refreshItems(t),e(t.target).parents().each(function(){return e.data(this,a.widgetName+"-item")===a?(s=e(this),!1):void 0}),e.data(t.target,a.widgetName+"-item")===a&&(s=e(t.target)),s?!this.options.handle||i||(e(this.options.handle,s).find("*").addBack().each(function(){this===t.target&&(n=!0)}),n)?(this.currentItem=s,this._removeCurrentsFromItems(),!0):!1:!1)},_mouseStart:function(t,i,s){var n,a,o=this.options;if(this.currentContainer=this,this.refreshPositions(),this.helper=this._createHelper(t),this._cacheHelperProportions(),this._cacheMargins(),this.scrollParent=this.helper.scrollParent(),this.offset=this.currentItem.offset(),this.offset={top:this.offset.top-this.margins.top,left:this.offset.left-this.margins.left},e.extend(this.offset,{click:{left:t.pageX-this.offset.left,top:t.pageY-this.offset.top},parent:this._getParentOffset(),relative:this._getRelativeOffset()}),this.helper.css("position","absolute"),this.cssPosition=this.helper.css("position"),this.originalPosition=this._generatePosition(t),this.originalPageX=t.pageX,this.originalPageY=t.pageY,o.cursorAt&&this._adjustOffsetFromHelper(o.cursorAt),this.domPosition={prev:this.currentItem.prev()[0],parent:this.currentItem.parent()[0]},this.helper[0]!==this.currentItem[0]&&this.currentItem.hide(),this._createPlaceholder(),o.containment&&this._setContainment(),o.cursor&&"auto"!==o.cursor&&(a=this.document.find("body"),this.storedCursor=a.css("cursor"),a.css("cursor",o.cursor),this.storedStylesheet=e("<style>*{ cursor: "+o.cursor+" !important; }</style>").appendTo(a)),o.opacity&&(this.helper.css("opacity")&&(this._storedOpacity=this.helper.css("opacity")),this.helper.css("opacity",o.opacity)),o.zIndex&&(this.helper.css("zIndex")&&(this._storedZIndex=this.helper.css("zIndex")),this.helper.css("zIndex",o.zIndex)),this.scrollParent[0]!==this.document[0]&&"HTML"!==this.scrollParent[0].tagName&&(this.overflowOffset=this.scrollParent.offset()),this._trigger("start",t,this._uiHash()),this._preserveHelperProportions||this._cacheHelperProportions(),!s)for(n=this.containers.length-1;n>=0;n--)this.containers[n]._trigger("activate",t,this._uiHash(this));return e.ui.ddmanager&&(e.ui.ddmanager.current=this),e.ui.ddmanager&&!o.dropBehaviour&&e.ui.ddmanager.prepareOffsets(this,t),this.dragging=!0,this.helper.addClass("ui-sortable-helper"),this._mouseDrag(t),!0},_mouseDrag:function(t){var i,s,n,a,o=this.options,r=!1;for(this.position=this._generatePosition(t),this.positionAbs=this._convertPositionTo("absolute"),this.lastPositionAbs||(this.lastPositionAbs=this.positionAbs),this.options.scroll&&(this.scrollParent[0]!==this.document[0]&&"HTML"!==this.scrollParent[0].tagName?(this.overflowOffset.top+this.scrollParent[0].offsetHeight-t.pageY<o.scrollSensitivity?this.scrollParent[0].scrollTop=r=this.scrollParent[0].scrollTop+o.scrollSpeed:t.pageY-this.overflowOffset.top<o.scrollSensitivity&&(this.scrollParent[0].scrollTop=r=this.scrollParent[0].scrollTop-o.scrollSpeed),this.overflowOffset.left+this.scrollParent[0].offsetWidth-t.pageX<o.scrollSensitivity?this.scrollParent[0].scrollLeft=r=this.scrollParent[0].scrollLeft+o.scrollSpeed:t.pageX-this.overflowOffset.left<o.scrollSensitivity&&(this.scrollParent[0].scrollLeft=r=this.scrollParent[0].scrollLeft-o.scrollSpeed)):(t.pageY-this.document.scrollTop()<o.scrollSensitivity?r=this.document.scrollTop(this.document.scrollTop()-o.scrollSpeed):this.window.height()-(t.pageY-this.document.scrollTop())<o.scrollSensitivity&&(r=this.document.scrollTop(this.document.scrollTop()+o.scrollSpeed)),t.pageX-this.document.scrollLeft()<o.scrollSensitivity?r=this.document.scrollLeft(this.document.scrollLeft()-o.scrollSpeed):this.window.width()-(t.pageX-this.document.scrollLeft())<o.scrollSensitivity&&(r=this.document.scrollLeft(this.document.scrollLeft()+o.scrollSpeed))),r!==!1&&e.ui.ddmanager&&!o.dropBehaviour&&e.ui.ddmanager.prepareOffsets(this,t)),this.positionAbs=this._convertPositionTo("absolute"),this.options.axis&&"y"===this.options.axis||(this.helper[0].style.left=this.position.left+"px"),this.options.axis&&"x"===this.options.axis||(this.helper[0].style.top=this.position.top+"px"),i=this.items.length-1;i>=0;i--)if(s=this.items[i],n=s.item[0],a=this._intersectsWithPointer(s),a&&s.instance===this.currentContainer&&n!==this.currentItem[0]&&this.placeholder[1===a?"next":"prev"]()[0]!==n&&!e.contains(this.placeholder[0],n)&&("semi-dynamic"===this.options.type?!e.contains(this.element[0],n):!0)){if(this.direction=1===a?"down":"up","pointer"!==this.options.tolerance&&!this._intersectsWithSides(s))break;this._rearrange(t,s),this._trigger("change",t,this._uiHash());break}return this._contactContainers(t),e.ui.ddmanager&&e.ui.ddmanager.drag(this,t),this._trigger("sort",t,this._uiHash()),this.lastPositionAbs=this.positionAbs,!1},_mouseStop:function(t,i){if(t){if(e.ui.ddmanager&&!this.options.dropBehaviour&&e.ui.ddmanager.drop(this,t),this.options.revert){var s=this,n=this.placeholder.offset(),a=this.options.axis,o={};a&&"x"!==a||(o.left=n.left-this.offset.parent.left-this.margins.left+(this.offsetParent[0]===this.document[0].body?0:this.offsetParent[0].scrollLeft)),a&&"y"!==a||(o.top=n.top-this.offset.parent.top-this.margins.top+(this.offsetParent[0]===this.document[0].body?0:this.offsetParent[0].scrollTop)),this.reverting=!0,e(this.helper).animate(o,parseInt(this.options.revert,10)||500,function(){s._clear(t)})}else this._clear(t,i);return!1}},cancel:function(){if(this.dragging){this._mouseUp({target:null}),"original"===this.options.helper?this.currentItem.css(this._storedCSS).removeClass("ui-sortable-helper"):this.currentItem.show();for(var t=this.containers.length-1;t>=0;t--)this.containers[t]._trigger("deactivate",null,this._uiHash(this)),this.containers[t].containerCache.over&&(this.containers[t]._trigger("out",null,this._uiHash(this)),this.containers[t].containerCache.over=0)}return this.placeholder&&(this.placeholder[0].parentNode&&this.placeholder[0].parentNode.removeChild(this.placeholder[0]),"original"!==this.options.helper&&this.helper&&this.helper[0].parentNode&&this.helper.remove(),e.extend(this,{helper:null,dragging:!1,reverting:!1,_noFinalSort:null}),this.domPosition.prev?e(this.domPosition.prev).after(this.currentItem):e(this.domPosition.parent).prepend(this.currentItem)),this},serialize:function(t){var i=this._getItemsAsjQuery(t&&t.connected),s=[];return t=t||{},e(i).each(function(){var i=(e(t.item||this).attr(t.attribute||"id")||"").match(t.expression||/(.+)[\-=_](.+)/);i&&s.push((t.key||i[1]+"[]")+"="+(t.key&&t.expression?i[1]:i[2]))}),!s.length&&t.key&&s.push(t.key+"="),s.join("&")},toArray:function(t){var i=this._getItemsAsjQuery(t&&t.connected),s=[];return t=t||{},i.each(function(){s.push(e(t.item||this).attr(t.attribute||"id")||"")}),s},_intersectsWith:function(e){var t=this.positionAbs.left,i=t+this.helperProportions.width,s=this.positionAbs.top,n=s+this.helperProportions.height,a=e.left,o=a+e.width,r=e.top,h=r+e.height,l=this.offset.click.top,u=this.offset.click.left,d="x"===this.options.axis||s+l>r&&h>s+l,c="y"===this.options.axis||t+u>a&&o>t+u,p=d&&c;return"pointer"===this.options.tolerance||this.options.forcePointerForContainers||"pointer"!==this.options.tolerance&&this.helperProportions[this.floating?"width":"height"]>e[this.floating?"width":"height"]?p:t+this.helperProportions.width/2>a&&o>i-this.helperProportions.width/2&&s+this.helperProportions.height/2>r&&h>n-this.helperProportions.height/2},_intersectsWithPointer:function(e){var t="x"===this.options.axis||this._isOverAxis(this.positionAbs.top+this.offset.click.top,e.top,e.height),i="y"===this.options.axis||this._isOverAxis(this.positionAbs.left+this.offset.click.left,e.left,e.width),s=t&&i,n=this._getDragVerticalDirection(),a=this._getDragHorizontalDirection();return s?this.floating?a&&"right"===a||"down"===n?2:1:n&&("down"===n?2:1):!1},_intersectsWithSides:function(e){var t=this._isOverAxis(this.positionAbs.top+this.offset.click.top,e.top+e.height/2,e.height),i=this._isOverAxis(this.positionAbs.left+this.offset.click.left,e.left+e.width/2,e.width),s=this._getDragVerticalDirection(),n=this._getDragHorizontalDirection();return this.floating&&n?"right"===n&&i||"left"===n&&!i:s&&("down"===s&&t||"up"===s&&!t)},_getDragVerticalDirection:function(){var e=this.positionAbs.top-this.lastPositionAbs.top;return 0!==e&&(e>0?"down":"up")},_getDragHorizontalDirection:function(){var e=this.positionAbs.left-this.lastPositionAbs.left;return 0!==e&&(e>0?"right":"left")},refresh:function(e){return this._refreshItems(e),this._setHandleClassName(),this.refreshPositions(),this},_connectWith:function(){var e=this.options;return e.connectWith.constructor===String?[e.connectWith]:e.connectWith},_getItemsAsjQuery:function(t){function i(){r.push(this)}var s,n,a,o,r=[],h=[],l=this._connectWith();if(l&&t)for(s=l.length-1;s>=0;s--)for(a=e(l[s],this.document[0]),n=a.length-1;n>=0;n--)o=e.data(a[n],this.widgetFullName),o&&o!==this&&!o.options.disabled&&h.push([e.isFunction(o.options.items)?o.options.items.call(o.element):e(o.options.items,o.element).not(".ui-sortable-helper").not(".ui-sortable-placeholder"),o]);for(h.push([e.isFunction(this.options.items)?this.options.items.call(this.element,null,{options:this.options,item:this.currentItem}):e(this.options.items,this.element).not(".ui-sortable-helper").not(".ui-sortable-placeholder"),this]),s=h.length-1;s>=0;s--)h[s][0].each(i);return e(r)},_removeCurrentsFromItems:function(){var t=this.currentItem.find(":data("+this.widgetName+"-item)");this.items=e.grep(this.items,function(e){for(var i=0;t.length>i;i++)if(t[i]===e.item[0])return!1;return!0})},_refreshItems:function(t){this.items=[],this.containers=[this];var i,s,n,a,o,r,h,l,u=this.items,d=[[e.isFunction(this.options.items)?this.options.items.call(this.element[0],t,{item:this.currentItem}):e(this.options.items,this.element),this]],c=this._connectWith();if(c&&this.ready)for(i=c.length-1;i>=0;i--)for(n=e(c[i],this.document[0]),s=n.length-1;s>=0;s--)a=e.data(n[s],this.widgetFullName),a&&a!==this&&!a.options.disabled&&(d.push([e.isFunction(a.options.items)?a.options.items.call(a.element[0],t,{item:this.currentItem}):e(a.options.items,a.element),a]),this.containers.push(a));for(i=d.length-1;i>=0;i--)for(o=d[i][1],r=d[i][0],s=0,l=r.length;l>s;s++)h=e(r[s]),h.data(this.widgetName+"-item",o),u.push({item:h,instance:o,width:0,height:0,left:0,top:0})},refreshPositions:function(t){this.floating=this.items.length?"x"===this.options.axis||this._isFloating(this.items[0].item):!1,this.offsetParent&&this.helper&&(this.offset.parent=this._getParentOffset());var i,s,n,a;for(i=this.items.length-1;i>=0;i--)s=this.items[i],s.instance!==this.currentContainer&&this.currentContainer&&s.item[0]!==this.currentItem[0]||(n=this.options.toleranceElement?e(this.options.toleranceElement,s.item):s.item,t||(s.width=n.outerWidth(),s.height=n.outerHeight()),a=n.offset(),s.left=a.left,s.top=a.top);if(this.options.custom&&this.options.custom.refreshContainers)this.options.custom.refreshContainers.call(this);else for(i=this.containers.length-1;i>=0;i--)a=this.containers[i].element.offset(),this.containers[i].containerCache.left=a.left,this.containers[i].containerCache.top=a.top,this.containers[i].containerCache.width=this.containers[i].element.outerWidth(),this.containers[i].containerCache.height=this.containers[i].element.outerHeight();return this},_createPlaceholder:function(t){t=t||this;var i,s=t.options;s.placeholder&&s.placeholder.constructor!==String||(i=s.placeholder,s.placeholder={element:function(){var s=t.currentItem[0].nodeName.toLowerCase(),n=e("<"+s+">",t.document[0]).addClass(i||t.currentItem[0].className+" ui-sortable-placeholder").removeClass("ui-sortable-helper");return"tbody"===s?t._createTrPlaceholder(t.currentItem.find("tr").eq(0),e("<tr>",t.document[0]).appendTo(n)):"tr"===s?t._createTrPlaceholder(t.currentItem,n):"img"===s&&n.attr("src",t.currentItem.attr("src")),i||n.css("visibility","hidden"),n},update:function(e,n){(!i||s.forcePlaceholderSize)&&(n.height()||n.height(t.currentItem.innerHeight()-parseInt(t.currentItem.css("paddingTop")||0,10)-parseInt(t.currentItem.css("paddingBottom")||0,10)),n.width()||n.width(t.currentItem.innerWidth()-parseInt(t.currentItem.css("paddingLeft")||0,10)-parseInt(t.currentItem.css("paddingRight")||0,10)))}}),t.placeholder=e(s.placeholder.element.call(t.element,t.currentItem)),t.currentItem.after(t.placeholder),s.placeholder.update(t,t.placeholder)},_createTrPlaceholder:function(t,i){var s=this;t.children().each(function(){e("<td>&#160;</td>",s.document[0]).attr("colspan",e(this).attr("colspan")||1).appendTo(i)})},_contactContainers:function(t){var i,s,n,a,o,r,h,l,u,d,c=null,p=null;for(i=this.containers.length-1;i>=0;i--)if(!e.contains(this.currentItem[0],this.containers[i].element[0]))if(this._intersectsWith(this.containers[i].containerCache)){if(c&&e.contains(this.containers[i].element[0],c.element[0]))continue;c=this.containers[i],p=i}else this.containers[i].containerCache.over&&(this.containers[i]._trigger("out",t,this._uiHash(this)),this.containers[i].containerCache.over=0);if(c)if(1===this.containers.length)this.containers[p].containerCache.over||(this.containers[p]._trigger("over",t,this._uiHash(this)),this.containers[p].containerCache.over=1);else{for(n=1e4,a=null,u=c.floating||this._isFloating(this.currentItem),o=u?"left":"top",r=u?"width":"height",d=u?"clientX":"clientY",s=this.items.length-1;s>=0;s--)e.contains(this.containers[p].element[0],this.items[s].item[0])&&this.items[s].item[0]!==this.currentItem[0]&&(h=this.items[s].item.offset()[o],l=!1,t[d]-h>this.items[s][r]/2&&(l=!0),n>Math.abs(t[d]-h)&&(n=Math.abs(t[d]-h),a=this.items[s],this.direction=l?"up":"down"));if(!a&&!this.options.dropOnEmpty)return;if(this.currentContainer===this.containers[p])return this.currentContainer.containerCache.over||(this.containers[p]._trigger("over",t,this._uiHash()),this.currentContainer.containerCache.over=1),void 0;a?this._rearrange(t,a,null,!0):this._rearrange(t,null,this.containers[p].element,!0),this._trigger("change",t,this._uiHash()),this.containers[p]._trigger("change",t,this._uiHash(this)),this.currentContainer=this.containers[p],this.options.placeholder.update(this.currentContainer,this.placeholder),this.containers[p]._trigger("over",t,this._uiHash(this)),this.containers[p].containerCache.over=1}},_createHelper:function(t){var i=this.options,s=e.isFunction(i.helper)?e(i.helper.apply(this.element[0],[t,this.currentItem])):"clone"===i.helper?this.currentItem.clone():this.currentItem;return s.parents("body").length||e("parent"!==i.appendTo?i.appendTo:this.currentItem[0].parentNode)[0].appendChild(s[0]),s[0]===this.currentItem[0]&&(this._storedCSS={width:this.currentItem[0].style.width,height:this.currentItem[0].style.height,position:this.currentItem.css("position"),top:this.currentItem.css("top"),left:this.currentItem.css("left")}),(!s[0].style.width||i.forceHelperSize)&&s.width(this.currentItem.width()),(!s[0].style.height||i.forceHelperSize)&&s.height(this.currentItem.height()),s},_adjustOffsetFromHelper:function(t){"string"==typeof t&&(t=t.split(" ")),e.isArray(t)&&(t={left:+t[0],top:+t[1]||0}),"left"in t&&(this.offset.click.left=t.left+this.margins.left),"right"in t&&(this.offset.click.left=this.helperProportions.width-t.right+this.margins.left),"top"in t&&(this.offset.click.top=t.top+this.margins.top),"bottom"in t&&(this.offset.click.top=this.helperProportions.height-t.bottom+this.margins.top)},_getParentOffset:function(){this.offsetParent=this.helper.offsetParent();var t=this.offsetParent.offset();return"absolute"===this.cssPosition&&this.scrollParent[0]!==this.document[0]&&e.contains(this.scrollParent[0],this.offsetParent[0])&&(t.left+=this.scrollParent.scrollLeft(),t.top+=this.scrollParent.scrollTop()),(this.offsetParent[0]===this.document[0].body||this.offsetParent[0].tagName&&"html"===this.offsetParent[0].tagName.toLowerCase()&&e.ui.ie)&&(t={top:0,left:0}),{top:t.top+(parseInt(this.offsetParent.css("borderTopWidth"),10)||0),left:t.left+(parseInt(this.offsetParent.css("borderLeftWidth"),10)||0)}},_getRelativeOffset:function(){if("relative"===this.cssPosition){var e=this.currentItem.position();return{top:e.top-(parseInt(this.helper.css("top"),10)||0)+this.scrollParent.scrollTop(),left:e.left-(parseInt(this.helper.css("left"),10)||0)+this.scrollParent.scrollLeft()}}return{top:0,left:0}},_cacheMargins:function(){this.margins={left:parseInt(this.currentItem.css("marginLeft"),10)||0,top:parseInt(this.currentItem.css("marginTop"),10)||0}},_cacheHelperProportions:function(){this.helperProportions={width:this.helper.outerWidth(),height:this.helper.outerHeight()}},_setContainment:function(){var t,i,s,n=this.options;"parent"===n.containment&&(n.containment=this.helper[0].parentNode),("document"===n.containment||"window"===n.containment)&&(this.containment=[0-this.offset.relative.left-this.offset.parent.left,0-this.offset.relative.top-this.offset.parent.top,"document"===n.containment?this.document.width():this.window.width()-this.helperProportions.width-this.margins.left,("document"===n.containment?this.document.width():this.window.height()||this.document[0].body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top]),/^(document|window|parent)$/.test(n.containment)||(t=e(n.containment)[0],i=e(n.containment).offset(),s="hidden"!==e(t).css("overflow"),this.containment=[i.left+(parseInt(e(t).css("borderLeftWidth"),10)||0)+(parseInt(e(t).css("paddingLeft"),10)||0)-this.margins.left,i.top+(parseInt(e(t).css("borderTopWidth"),10)||0)+(parseInt(e(t).css("paddingTop"),10)||0)-this.margins.top,i.left+(s?Math.max(t.scrollWidth,t.offsetWidth):t.offsetWidth)-(parseInt(e(t).css("borderLeftWidth"),10)||0)-(parseInt(e(t).css("paddingRight"),10)||0)-this.helperProportions.width-this.margins.left,i.top+(s?Math.max(t.scrollHeight,t.offsetHeight):t.offsetHeight)-(parseInt(e(t).css("borderTopWidth"),10)||0)-(parseInt(e(t).css("paddingBottom"),10)||0)-this.helperProportions.height-this.margins.top])},_convertPositionTo:function(t,i){i||(i=this.position);var s="absolute"===t?1:-1,n="absolute"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&e.contains(this.scrollParent[0],this.offsetParent[0])?this.scrollParent:this.offsetParent,a=/(html|body)/i.test(n[0].tagName);return{top:i.top+this.offset.relative.top*s+this.offset.parent.top*s-("fixed"===this.cssPosition?-this.scrollParent.scrollTop():a?0:n.scrollTop())*s,left:i.left+this.offset.relative.left*s+this.offset.parent.left*s-("fixed"===this.cssPosition?-this.scrollParent.scrollLeft():a?0:n.scrollLeft())*s}},_generatePosition:function(t){var i,s,n=this.options,a=t.pageX,o=t.pageY,r="absolute"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&e.contains(this.scrollParent[0],this.offsetParent[0])?this.scrollParent:this.offsetParent,h=/(html|body)/i.test(r[0].tagName);return"relative"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&this.scrollParent[0]!==this.offsetParent[0]||(this.offset.relative=this._getRelativeOffset()),this.originalPosition&&(this.containment&&(t.pageX-this.offset.click.left<this.containment[0]&&(a=this.containment[0]+this.offset.click.left),t.pageY-this.offset.click.top<this.containment[1]&&(o=this.containment[1]+this.offset.click.top),t.pageX-this.offset.click.left>this.containment[2]&&(a=this.containment[2]+this.offset.click.left),t.pageY-this.offset.click.top>this.containment[3]&&(o=this.containment[3]+this.offset.click.top)),n.grid&&(i=this.originalPageY+Math.round((o-this.originalPageY)/n.grid[1])*n.grid[1],o=this.containment?i-this.offset.click.top>=this.containment[1]&&i-this.offset.click.top<=this.containment[3]?i:i-this.offset.click.top>=this.containment[1]?i-n.grid[1]:i+n.grid[1]:i,s=this.originalPageX+Math.round((a-this.originalPageX)/n.grid[0])*n.grid[0],a=this.containment?s-this.offset.click.left>=this.containment[0]&&s-this.offset.click.left<=this.containment[2]?s:s-this.offset.click.left>=this.containment[0]?s-n.grid[0]:s+n.grid[0]:s)),{top:o-this.offset.click.top-this.offset.relative.top-this.offset.parent.top+("fixed"===this.cssPosition?-this.scrollParent.scrollTop():h?0:r.scrollTop()),left:a-this.offset.click.left-this.offset.relative.left-this.offset.parent.left+("fixed"===this.cssPosition?-this.scrollParent.scrollLeft():h?0:r.scrollLeft())}},_rearrange:function(e,t,i,s){i?i[0].appendChild(this.placeholder[0]):t.item[0].parentNode.insertBefore(this.placeholder[0],"down"===this.direction?t.item[0]:t.item[0].nextSibling),this.counter=this.counter?++this.counter:1;var n=this.counter;this._delay(function(){n===this.counter&&this.refreshPositions(!s)})},_clear:function(e,t){function i(e,t,i){return function(s){i._trigger(e,s,t._uiHash(t))}}this.reverting=!1;var s,n=[];if(!this._noFinalSort&&this.currentItem.parent().length&&this.placeholder.before(this.currentItem),this._noFinalSort=null,this.helper[0]===this.currentItem[0]){for(s in this._storedCSS)("auto"===this._storedCSS[s]||"static"===this._storedCSS[s])&&(this._storedCSS[s]="");this.currentItem.css(this._storedCSS).removeClass("ui-sortable-helper")}else this.currentItem.show();for(this.fromOutside&&!t&&n.push(function(e){this._trigger("receive",e,this._uiHash(this.fromOutside))}),!this.fromOutside&&this.domPosition.prev===this.currentItem.prev().not(".ui-sortable-helper")[0]&&this.domPosition.parent===this.currentItem.parent()[0]||t||n.push(function(e){this._trigger("update",e,this._uiHash())}),this!==this.currentContainer&&(t||(n.push(function(e){this._trigger("remove",e,this._uiHash())}),n.push(function(e){return function(t){e._trigger("receive",t,this._uiHash(this))}}.call(this,this.currentContainer)),n.push(function(e){return function(t){e._trigger("update",t,this._uiHash(this))}}.call(this,this.currentContainer)))),s=this.containers.length-1;s>=0;s--)t||n.push(i("deactivate",this,this.containers[s])),this.containers[s].containerCache.over&&(n.push(i("out",this,this.containers[s])),this.containers[s].containerCache.over=0);if(this.storedCursor&&(this.document.find("body").css("cursor",this.storedCursor),this.storedStylesheet.remove()),this._storedOpacity&&this.helper.css("opacity",this._storedOpacity),this._storedZIndex&&this.helper.css("zIndex","auto"===this._storedZIndex?"":this._storedZIndex),this.dragging=!1,t||this._trigger("beforeStop",e,this._uiHash()),this.placeholder[0].parentNode.removeChild(this.placeholder[0]),this.cancelHelperRemoval||(this.helper[0]!==this.currentItem[0]&&this.helper.remove(),this.helper=null),!t){for(s=0;n.length>s;s++)n[s].call(this,e);this._trigger("stop",e,this._uiHash())}return this.fromOutside=!1,!this.cancelHelperRemoval},_trigger:function(){e.Widget.prototype._trigger.apply(this,arguments)===!1&&this.cancel()},_uiHash:function(t){var i=t||this;return{helper:i.helper,placeholder:i.placeholder||e([]),position:i.position,originalPosition:i.originalPosition,offset:i.positionAbs,item:i.currentItem,sender:t?t.element:null}}}),e.widget("ui.accordion",{version:"1.11.4",options:{active:0,animate:{},collapsible:!1,event:"click",header:"> li > :first-child,> :not(li):even",heightStyle:"auto",icons:{activeHeader:"ui-icon-triangle-1-s",header:"ui-icon-triangle-1-e"},activate:null,beforeActivate:null},hideProps:{borderTopWidth:"hide",borderBottomWidth:"hide",paddingTop:"hide",paddingBottom:"hide",height:"hide"},showProps:{borderTopWidth:"show",borderBottomWidth:"show",paddingTop:"show",paddingBottom:"show",height:"show"},_create:function(){var t=this.options;this.prevShow=this.prevHide=e(),this.element.addClass("ui-accordion ui-widget ui-helper-reset").attr("role","tablist"),t.collapsible||t.active!==!1&&null!=t.active||(t.active=0),this._processPanels(),0>t.active&&(t.active+=this.headers.length),this._refresh()},_getCreateEventData:function(){return{header:this.active,panel:this.active.length?this.active.next():e()}},_createIcons:function(){var t=this.options.icons;t&&(e("<span>").addClass("ui-accordion-header-icon ui-icon "+t.header).prependTo(this.headers),this.active.children(".ui-accordion-header-icon").removeClass(t.header).addClass(t.activeHeader),this.headers.addClass("ui-accordion-icons"))},_destroyIcons:function(){this.headers.removeClass("ui-accordion-icons").children(".ui-accordion-header-icon").remove()},_destroy:function(){var e;this.element.removeClass("ui-accordion ui-widget ui-helper-reset").removeAttr("role"),this.headers.removeClass("ui-accordion-header ui-accordion-header-active ui-state-default ui-corner-all ui-state-active ui-state-disabled ui-corner-top").removeAttr("role").removeAttr("aria-expanded").removeAttr("aria-selected").removeAttr("aria-controls").removeAttr("tabIndex").removeUniqueId(),this._destroyIcons(),e=this.headers.next().removeClass("ui-helper-reset ui-widget-content ui-corner-bottom ui-accordion-content ui-accordion-content-active ui-state-disabled").css("display","").removeAttr("role").removeAttr("aria-hidden").removeAttr("aria-labelledby").removeUniqueId(),"content"!==this.options.heightStyle&&e.css("height","")},_setOption:function(e,t){return"active"===e?(this._activate(t),void 0):("event"===e&&(this.options.event&&this._off(this.headers,this.options.event),this._setupEvents(t)),this._super(e,t),"collapsible"!==e||t||this.options.active!==!1||this._activate(0),"icons"===e&&(this._destroyIcons(),t&&this._createIcons()),"disabled"===e&&(this.element.toggleClass("ui-state-disabled",!!t).attr("aria-disabled",t),this.headers.add(this.headers.next()).toggleClass("ui-state-disabled",!!t)),void 0)},_keydown:function(t){if(!t.altKey&&!t.ctrlKey){var i=e.ui.keyCode,s=this.headers.length,n=this.headers.index(t.target),a=!1;switch(t.keyCode){case i.RIGHT:case i.DOWN:a=this.headers[(n+1)%s];break;case i.LEFT:case i.UP:a=this.headers[(n-1+s)%s];break;case i.SPACE:case i.ENTER:this._eventHandler(t);break;case i.HOME:a=this.headers[0];break;case i.END:a=this.headers[s-1]}a&&(e(t.target).attr("tabIndex",-1),e(a).attr("tabIndex",0),a.focus(),t.preventDefault())}},_panelKeyDown:function(t){t.keyCode===e.ui.keyCode.UP&&t.ctrlKey&&e(t.currentTarget).prev().focus()},refresh:function(){var t=this.options;this._processPanels(),t.active===!1&&t.collapsible===!0||!this.headers.length?(t.active=!1,this.active=e()):t.active===!1?this._activate(0):this.active.length&&!e.contains(this.element[0],this.active[0])?this.headers.length===this.headers.find(".ui-state-disabled").length?(t.active=!1,this.active=e()):this._activate(Math.max(0,t.active-1)):t.active=this.headers.index(this.active),this._destroyIcons(),this._refresh()},_processPanels:function(){var e=this.headers,t=this.panels;this.headers=this.element.find(this.options.header).addClass("ui-accordion-header ui-state-default ui-corner-all"),this.panels=this.headers.next().addClass("ui-accordion-content ui-helper-reset ui-widget-content ui-corner-bottom").filter(":not(.ui-accordion-content-active)").hide(),t&&(this._off(e.not(this.headers)),this._off(t.not(this.panels)))},_refresh:function(){var t,i=this.options,s=i.heightStyle,n=this.element.parent();this.active=this._findActive(i.active).addClass("ui-accordion-header-active ui-state-active ui-corner-top").removeClass("ui-corner-all"),this.active.next().addClass("ui-accordion-content-active").show(),this.headers.attr("role","tab").each(function(){var t=e(this),i=t.uniqueId().attr("id"),s=t.next(),n=s.uniqueId().attr("id");t.attr("aria-controls",n),s.attr("aria-labelledby",i)}).next().attr("role","tabpanel"),this.headers.not(this.active).attr({"aria-selected":"false","aria-expanded":"false",tabIndex:-1}).next().attr({"aria-hidden":"true"}).hide(),this.active.length?this.active.attr({"aria-selected":"true","aria-expanded":"true",tabIndex:0}).next().attr({"aria-hidden":"false"}):this.headers.eq(0).attr("tabIndex",0),this._createIcons(),this._setupEvents(i.event),"fill"===s?(t=n.height(),this.element.siblings(":visible").each(function(){var i=e(this),s=i.css("position");"absolute"!==s&&"fixed"!==s&&(t-=i.outerHeight(!0))}),this.headers.each(function(){t-=e(this).outerHeight(!0)}),this.headers.next().each(function(){e(this).height(Math.max(0,t-e(this).innerHeight()+e(this).height()))}).css("overflow","auto")):"auto"===s&&(t=0,this.headers.next().each(function(){t=Math.max(t,e(this).css("height","").height())}).height(t))},_activate:function(t){var i=this._findActive(t)[0];i!==this.active[0]&&(i=i||this.active[0],this._eventHandler({target:i,currentTarget:i,preventDefault:e.noop}))},_findActive:function(t){return"number"==typeof t?this.headers.eq(t):e()},_setupEvents:function(t){var i={keydown:"_keydown"};t&&e.each(t.split(" "),function(e,t){i[t]="_eventHandler"}),this._off(this.headers.add(this.headers.next())),this._on(this.headers,i),this._on(this.headers.next(),{keydown:"_panelKeyDown"}),this._hoverable(this.headers),this._focusable(this.headers)},_eventHandler:function(t){var i=this.options,s=this.active,n=e(t.currentTarget),a=n[0]===s[0],o=a&&i.collapsible,r=o?e():n.next(),h=s.next(),l={oldHeader:s,oldPanel:h,newHeader:o?e():n,newPanel:r};
t.preventDefault(),a&&!i.collapsible||this._trigger("beforeActivate",t,l)===!1||(i.active=o?!1:this.headers.index(n),this.active=a?e():n,this._toggle(l),s.removeClass("ui-accordion-header-active ui-state-active"),i.icons&&s.children(".ui-accordion-header-icon").removeClass(i.icons.activeHeader).addClass(i.icons.header),a||(n.removeClass("ui-corner-all").addClass("ui-accordion-header-active ui-state-active ui-corner-top"),i.icons&&n.children(".ui-accordion-header-icon").removeClass(i.icons.header).addClass(i.icons.activeHeader),n.next().addClass("ui-accordion-content-active")))},_toggle:function(t){var i=t.newPanel,s=this.prevShow.length?this.prevShow:t.oldPanel;this.prevShow.add(this.prevHide).stop(!0,!0),this.prevShow=i,this.prevHide=s,this.options.animate?this._animate(i,s,t):(s.hide(),i.show(),this._toggleComplete(t)),s.attr({"aria-hidden":"true"}),s.prev().attr({"aria-selected":"false","aria-expanded":"false"}),i.length&&s.length?s.prev().attr({tabIndex:-1,"aria-expanded":"false"}):i.length&&this.headers.filter(function(){return 0===parseInt(e(this).attr("tabIndex"),10)}).attr("tabIndex",-1),i.attr("aria-hidden","false").prev().attr({"aria-selected":"true","aria-expanded":"true",tabIndex:0})},_animate:function(e,t,i){var s,n,a,o=this,r=0,h=e.css("box-sizing"),l=e.length&&(!t.length||e.index()<t.index()),u=this.options.animate||{},d=l&&u.down||u,c=function(){o._toggleComplete(i)};return"number"==typeof d&&(a=d),"string"==typeof d&&(n=d),n=n||d.easing||u.easing,a=a||d.duration||u.duration,t.length?e.length?(s=e.show().outerHeight(),t.animate(this.hideProps,{duration:a,easing:n,step:function(e,t){t.now=Math.round(e)}}),e.hide().animate(this.showProps,{duration:a,easing:n,complete:c,step:function(e,i){i.now=Math.round(e),"height"!==i.prop?"content-box"===h&&(r+=i.now):"content"!==o.options.heightStyle&&(i.now=Math.round(s-t.outerHeight()-r),r=0)}}),void 0):t.animate(this.hideProps,a,n,c):e.animate(this.showProps,a,n,c)},_toggleComplete:function(e){var t=e.oldPanel;t.removeClass("ui-accordion-content-active").prev().removeClass("ui-corner-top").addClass("ui-corner-all"),t.length&&(t.parent()[0].className=t.parent()[0].className),this._trigger("activate",null,e)}}),e.widget("ui.menu",{version:"1.11.4",defaultElement:"<ul>",delay:300,options:{icons:{submenu:"ui-icon-carat-1-e"},items:"> *",menus:"ul",position:{my:"left-1 top",at:"right top"},role:"menu",blur:null,focus:null,select:null},_create:function(){this.activeMenu=this.element,this.mouseHandled=!1,this.element.uniqueId().addClass("ui-menu ui-widget ui-widget-content").toggleClass("ui-menu-icons",!!this.element.find(".ui-icon").length).attr({role:this.options.role,tabIndex:0}),this.options.disabled&&this.element.addClass("ui-state-disabled").attr("aria-disabled","true"),this._on({"mousedown .ui-menu-item":function(e){e.preventDefault()},"click .ui-menu-item":function(t){var i=e(t.target);!this.mouseHandled&&i.not(".ui-state-disabled").length&&(this.select(t),t.isPropagationStopped()||(this.mouseHandled=!0),i.has(".ui-menu").length?this.expand(t):!this.element.is(":focus")&&e(this.document[0].activeElement).closest(".ui-menu").length&&(this.element.trigger("focus",[!0]),this.active&&1===this.active.parents(".ui-menu").length&&clearTimeout(this.timer)))},"mouseenter .ui-menu-item":function(t){if(!this.previousFilter){var i=e(t.currentTarget);i.siblings(".ui-state-active").removeClass("ui-state-active"),this.focus(t,i)}},mouseleave:"collapseAll","mouseleave .ui-menu":"collapseAll",focus:function(e,t){var i=this.active||this.element.find(this.options.items).eq(0);t||this.focus(e,i)},blur:function(t){this._delay(function(){e.contains(this.element[0],this.document[0].activeElement)||this.collapseAll(t)})},keydown:"_keydown"}),this.refresh(),this._on(this.document,{click:function(e){this._closeOnDocumentClick(e)&&this.collapseAll(e),this.mouseHandled=!1}})},_destroy:function(){this.element.removeAttr("aria-activedescendant").find(".ui-menu").addBack().removeClass("ui-menu ui-widget ui-widget-content ui-menu-icons ui-front").removeAttr("role").removeAttr("tabIndex").removeAttr("aria-labelledby").removeAttr("aria-expanded").removeAttr("aria-hidden").removeAttr("aria-disabled").removeUniqueId().show(),this.element.find(".ui-menu-item").removeClass("ui-menu-item").removeAttr("role").removeAttr("aria-disabled").removeUniqueId().removeClass("ui-state-hover").removeAttr("tabIndex").removeAttr("role").removeAttr("aria-haspopup").children().each(function(){var t=e(this);t.data("ui-menu-submenu-carat")&&t.remove()}),this.element.find(".ui-menu-divider").removeClass("ui-menu-divider ui-widget-content")},_keydown:function(t){var i,s,n,a,o=!0;switch(t.keyCode){case e.ui.keyCode.PAGE_UP:this.previousPage(t);break;case e.ui.keyCode.PAGE_DOWN:this.nextPage(t);break;case e.ui.keyCode.HOME:this._move("first","first",t);break;case e.ui.keyCode.END:this._move("last","last",t);break;case e.ui.keyCode.UP:this.previous(t);break;case e.ui.keyCode.DOWN:this.next(t);break;case e.ui.keyCode.LEFT:this.collapse(t);break;case e.ui.keyCode.RIGHT:this.active&&!this.active.is(".ui-state-disabled")&&this.expand(t);break;case e.ui.keyCode.ENTER:case e.ui.keyCode.SPACE:this._activate(t);break;case e.ui.keyCode.ESCAPE:this.collapse(t);break;default:o=!1,s=this.previousFilter||"",n=String.fromCharCode(t.keyCode),a=!1,clearTimeout(this.filterTimer),n===s?a=!0:n=s+n,i=this._filterMenuItems(n),i=a&&-1!==i.index(this.active.next())?this.active.nextAll(".ui-menu-item"):i,i.length||(n=String.fromCharCode(t.keyCode),i=this._filterMenuItems(n)),i.length?(this.focus(t,i),this.previousFilter=n,this.filterTimer=this._delay(function(){delete this.previousFilter},1e3)):delete this.previousFilter}o&&t.preventDefault()},_activate:function(e){this.active.is(".ui-state-disabled")||(this.active.is("[aria-haspopup='true']")?this.expand(e):this.select(e))},refresh:function(){var t,i,s=this,n=this.options.icons.submenu,a=this.element.find(this.options.menus);this.element.toggleClass("ui-menu-icons",!!this.element.find(".ui-icon").length),a.filter(":not(.ui-menu)").addClass("ui-menu ui-widget ui-widget-content ui-front").hide().attr({role:this.options.role,"aria-hidden":"true","aria-expanded":"false"}).each(function(){var t=e(this),i=t.parent(),s=e("<span>").addClass("ui-menu-icon ui-icon "+n).data("ui-menu-submenu-carat",!0);i.attr("aria-haspopup","true").prepend(s),t.attr("aria-labelledby",i.attr("id"))}),t=a.add(this.element),i=t.find(this.options.items),i.not(".ui-menu-item").each(function(){var t=e(this);s._isDivider(t)&&t.addClass("ui-widget-content ui-menu-divider")}),i.not(".ui-menu-item, .ui-menu-divider").addClass("ui-menu-item").uniqueId().attr({tabIndex:-1,role:this._itemRole()}),i.filter(".ui-state-disabled").attr("aria-disabled","true"),this.active&&!e.contains(this.element[0],this.active[0])&&this.blur()},_itemRole:function(){return{menu:"menuitem",listbox:"option"}[this.options.role]},_setOption:function(e,t){"icons"===e&&this.element.find(".ui-menu-icon").removeClass(this.options.icons.submenu).addClass(t.submenu),"disabled"===e&&this.element.toggleClass("ui-state-disabled",!!t).attr("aria-disabled",t),this._super(e,t)},focus:function(e,t){var i,s;this.blur(e,e&&"focus"===e.type),this._scrollIntoView(t),this.active=t.first(),s=this.active.addClass("ui-state-focus").removeClass("ui-state-active"),this.options.role&&this.element.attr("aria-activedescendant",s.attr("id")),this.active.parent().closest(".ui-menu-item").addClass("ui-state-active"),e&&"keydown"===e.type?this._close():this.timer=this._delay(function(){this._close()},this.delay),i=t.children(".ui-menu"),i.length&&e&&/^mouse/.test(e.type)&&this._startOpening(i),this.activeMenu=t.parent(),this._trigger("focus",e,{item:t})},_scrollIntoView:function(t){var i,s,n,a,o,r;this._hasScroll()&&(i=parseFloat(e.css(this.activeMenu[0],"borderTopWidth"))||0,s=parseFloat(e.css(this.activeMenu[0],"paddingTop"))||0,n=t.offset().top-this.activeMenu.offset().top-i-s,a=this.activeMenu.scrollTop(),o=this.activeMenu.height(),r=t.outerHeight(),0>n?this.activeMenu.scrollTop(a+n):n+r>o&&this.activeMenu.scrollTop(a+n-o+r))},blur:function(e,t){t||clearTimeout(this.timer),this.active&&(this.active.removeClass("ui-state-focus"),this.active=null,this._trigger("blur",e,{item:this.active}))},_startOpening:function(e){clearTimeout(this.timer),"true"===e.attr("aria-hidden")&&(this.timer=this._delay(function(){this._close(),this._open(e)},this.delay))},_open:function(t){var i=e.extend({of:this.active},this.options.position);clearTimeout(this.timer),this.element.find(".ui-menu").not(t.parents(".ui-menu")).hide().attr("aria-hidden","true"),t.show().removeAttr("aria-hidden").attr("aria-expanded","true").position(i)},collapseAll:function(t,i){clearTimeout(this.timer),this.timer=this._delay(function(){var s=i?this.element:e(t&&t.target).closest(this.element.find(".ui-menu"));s.length||(s=this.element),this._close(s),this.blur(t),this.activeMenu=s},this.delay)},_close:function(e){e||(e=this.active?this.active.parent():this.element),e.find(".ui-menu").hide().attr("aria-hidden","true").attr("aria-expanded","false").end().find(".ui-state-active").not(".ui-state-focus").removeClass("ui-state-active")},_closeOnDocumentClick:function(t){return!e(t.target).closest(".ui-menu").length},_isDivider:function(e){return!/[^\-\u2014\u2013\s]/.test(e.text())},collapse:function(e){var t=this.active&&this.active.parent().closest(".ui-menu-item",this.element);t&&t.length&&(this._close(),this.focus(e,t))},expand:function(e){var t=this.active&&this.active.children(".ui-menu ").find(this.options.items).first();t&&t.length&&(this._open(t.parent()),this._delay(function(){this.focus(e,t)}))},next:function(e){this._move("next","first",e)},previous:function(e){this._move("prev","last",e)},isFirstItem:function(){return this.active&&!this.active.prevAll(".ui-menu-item").length},isLastItem:function(){return this.active&&!this.active.nextAll(".ui-menu-item").length},_move:function(e,t,i){var s;this.active&&(s="first"===e||"last"===e?this.active["first"===e?"prevAll":"nextAll"](".ui-menu-item").eq(-1):this.active[e+"All"](".ui-menu-item").eq(0)),s&&s.length&&this.active||(s=this.activeMenu.find(this.options.items)[t]()),this.focus(i,s)},nextPage:function(t){var i,s,n;return this.active?(this.isLastItem()||(this._hasScroll()?(s=this.active.offset().top,n=this.element.height(),this.active.nextAll(".ui-menu-item").each(function(){return i=e(this),0>i.offset().top-s-n}),this.focus(t,i)):this.focus(t,this.activeMenu.find(this.options.items)[this.active?"last":"first"]())),void 0):(this.next(t),void 0)},previousPage:function(t){var i,s,n;return this.active?(this.isFirstItem()||(this._hasScroll()?(s=this.active.offset().top,n=this.element.height(),this.active.prevAll(".ui-menu-item").each(function(){return i=e(this),i.offset().top-s+n>0}),this.focus(t,i)):this.focus(t,this.activeMenu.find(this.options.items).first())),void 0):(this.next(t),void 0)},_hasScroll:function(){return this.element.outerHeight()<this.element.prop("scrollHeight")},select:function(t){this.active=this.active||e(t.target).closest(".ui-menu-item");var i={item:this.active};this.active.has(".ui-menu").length||this.collapseAll(t,!0),this._trigger("select",t,i)},_filterMenuItems:function(t){var i=t.replace(/[\-\[\]{}()*+?.,\\\^$|#\s]/g,"\\$&"),s=RegExp("^"+i,"i");return this.activeMenu.find(this.options.items).filter(".ui-menu-item").filter(function(){return s.test(e.trim(e(this).text()))})}}),e.widget("ui.autocomplete",{version:"1.11.4",defaultElement:"<input>",options:{appendTo:null,autoFocus:!1,delay:300,minLength:1,position:{my:"left top",at:"left bottom",collision:"none"},source:null,change:null,close:null,focus:null,open:null,response:null,search:null,select:null},requestIndex:0,pending:0,_create:function(){var t,i,s,n=this.element[0].nodeName.toLowerCase(),a="textarea"===n,o="input"===n;this.isMultiLine=a?!0:o?!1:this.element.prop("isContentEditable"),this.valueMethod=this.element[a||o?"val":"text"],this.isNewMenu=!0,this.element.addClass("ui-autocomplete-input").attr("autocomplete","off"),this._on(this.element,{keydown:function(n){if(this.element.prop("readOnly"))return t=!0,s=!0,i=!0,void 0;t=!1,s=!1,i=!1;var a=e.ui.keyCode;switch(n.keyCode){case a.PAGE_UP:t=!0,this._move("previousPage",n);break;case a.PAGE_DOWN:t=!0,this._move("nextPage",n);break;case a.UP:t=!0,this._keyEvent("previous",n);break;case a.DOWN:t=!0,this._keyEvent("next",n);break;case a.ENTER:this.menu.active&&(t=!0,n.preventDefault(),this.menu.select(n));break;case a.TAB:this.menu.active&&this.menu.select(n);break;case a.ESCAPE:this.menu.element.is(":visible")&&(this.isMultiLine||this._value(this.term),this.close(n),n.preventDefault());break;default:i=!0,this._searchTimeout(n)}},keypress:function(s){if(t)return t=!1,(!this.isMultiLine||this.menu.element.is(":visible"))&&s.preventDefault(),void 0;if(!i){var n=e.ui.keyCode;switch(s.keyCode){case n.PAGE_UP:this._move("previousPage",s);break;case n.PAGE_DOWN:this._move("nextPage",s);break;case n.UP:this._keyEvent("previous",s);break;case n.DOWN:this._keyEvent("next",s)}}},input:function(e){return s?(s=!1,e.preventDefault(),void 0):(this._searchTimeout(e),void 0)},focus:function(){this.selectedItem=null,this.previous=this._value()},blur:function(e){return this.cancelBlur?(delete this.cancelBlur,void 0):(clearTimeout(this.searching),this.close(e),this._change(e),void 0)}}),this._initSource(),this.menu=e("<ul>").addClass("ui-autocomplete ui-front").appendTo(this._appendTo()).menu({role:null}).hide().menu("instance"),this._on(this.menu.element,{mousedown:function(t){t.preventDefault(),this.cancelBlur=!0,this._delay(function(){delete this.cancelBlur});var i=this.menu.element[0];e(t.target).closest(".ui-menu-item").length||this._delay(function(){var t=this;this.document.one("mousedown",function(s){s.target===t.element[0]||s.target===i||e.contains(i,s.target)||t.close()})})},menufocus:function(t,i){var s,n;return this.isNewMenu&&(this.isNewMenu=!1,t.originalEvent&&/^mouse/.test(t.originalEvent.type))?(this.menu.blur(),this.document.one("mousemove",function(){e(t.target).trigger(t.originalEvent)}),void 0):(n=i.item.data("ui-autocomplete-item"),!1!==this._trigger("focus",t,{item:n})&&t.originalEvent&&/^key/.test(t.originalEvent.type)&&this._value(n.value),s=i.item.attr("aria-label")||n.value,s&&e.trim(s).length&&(this.liveRegion.children().hide(),e("<div>").text(s).appendTo(this.liveRegion)),void 0)},menuselect:function(e,t){var i=t.item.data("ui-autocomplete-item"),s=this.previous;this.element[0]!==this.document[0].activeElement&&(this.element.focus(),this.previous=s,this._delay(function(){this.previous=s,this.selectedItem=i})),!1!==this._trigger("select",e,{item:i})&&this._value(i.value),this.term=this._value(),this.close(e),this.selectedItem=i}}),this.liveRegion=e("<span>",{role:"status","aria-live":"assertive","aria-relevant":"additions"}).addClass("ui-helper-hidden-accessible").appendTo(this.document[0].body),this._on(this.window,{beforeunload:function(){this.element.removeAttr("autocomplete")}})},_destroy:function(){clearTimeout(this.searching),this.element.removeClass("ui-autocomplete-input").removeAttr("autocomplete"),this.menu.element.remove(),this.liveRegion.remove()},_setOption:function(e,t){this._super(e,t),"source"===e&&this._initSource(),"appendTo"===e&&this.menu.element.appendTo(this._appendTo()),"disabled"===e&&t&&this.xhr&&this.xhr.abort()},_appendTo:function(){var t=this.options.appendTo;return t&&(t=t.jquery||t.nodeType?e(t):this.document.find(t).eq(0)),t&&t[0]||(t=this.element.closest(".ui-front")),t.length||(t=this.document[0].body),t},_initSource:function(){var t,i,s=this;e.isArray(this.options.source)?(t=this.options.source,this.source=function(i,s){s(e.ui.autocomplete.filter(t,i.term))}):"string"==typeof this.options.source?(i=this.options.source,this.source=function(t,n){s.xhr&&s.xhr.abort(),s.xhr=e.ajax({url:i,data:t,dataType:"json",success:function(e){n(e)},error:function(){n([])}})}):this.source=this.options.source},_searchTimeout:function(e){clearTimeout(this.searching),this.searching=this._delay(function(){var t=this.term===this._value(),i=this.menu.element.is(":visible"),s=e.altKey||e.ctrlKey||e.metaKey||e.shiftKey;(!t||t&&!i&&!s)&&(this.selectedItem=null,this.search(null,e))},this.options.delay)},search:function(e,t){return e=null!=e?e:this._value(),this.term=this._value(),e.length<this.options.minLength?this.close(t):this._trigger("search",t)!==!1?this._search(e):void 0},_search:function(e){this.pending++,this.element.addClass("ui-autocomplete-loading"),this.cancelSearch=!1,this.source({term:e},this._response())},_response:function(){var t=++this.requestIndex;return e.proxy(function(e){t===this.requestIndex&&this.__response(e),this.pending--,this.pending||this.element.removeClass("ui-autocomplete-loading")},this)},__response:function(e){e&&(e=this._normalize(e)),this._trigger("response",null,{content:e}),!this.options.disabled&&e&&e.length&&!this.cancelSearch?(this._suggest(e),this._trigger("open")):this._close()},close:function(e){this.cancelSearch=!0,this._close(e)},_close:function(e){this.menu.element.is(":visible")&&(this.menu.element.hide(),this.menu.blur(),this.isNewMenu=!0,this._trigger("close",e))},_change:function(e){this.previous!==this._value()&&this._trigger("change",e,{item:this.selectedItem})},_normalize:function(t){return t.length&&t[0].label&&t[0].value?t:e.map(t,function(t){return"string"==typeof t?{label:t,value:t}:e.extend({},t,{label:t.label||t.value,value:t.value||t.label})})},_suggest:function(t){var i=this.menu.element.empty();this._renderMenu(i,t),this.isNewMenu=!0,this.menu.refresh(),i.show(),this._resizeMenu(),i.position(e.extend({of:this.element},this.options.position)),this.options.autoFocus&&this.menu.next()},_resizeMenu:function(){var e=this.menu.element;e.outerWidth(Math.max(e.width("").outerWidth()+1,this.element.outerWidth()))},_renderMenu:function(t,i){var s=this;e.each(i,function(e,i){s._renderItemData(t,i)})},_renderItemData:function(e,t){return this._renderItem(e,t).data("ui-autocomplete-item",t)},_renderItem:function(t,i){return e("<li>").text(i.label).appendTo(t)},_move:function(e,t){return this.menu.element.is(":visible")?this.menu.isFirstItem()&&/^previous/.test(e)||this.menu.isLastItem()&&/^next/.test(e)?(this.isMultiLine||this._value(this.term),this.menu.blur(),void 0):(this.menu[e](t),void 0):(this.search(null,t),void 0)},widget:function(){return this.menu.element},_value:function(){return this.valueMethod.apply(this.element,arguments)},_keyEvent:function(e,t){(!this.isMultiLine||this.menu.element.is(":visible"))&&(this._move(e,t),t.preventDefault())}}),e.extend(e.ui.autocomplete,{escapeRegex:function(e){return e.replace(/[\-\[\]{}()*+?.,\\\^$|#\s]/g,"\\$&")},filter:function(t,i){var s=RegExp(e.ui.autocomplete.escapeRegex(i),"i");return e.grep(t,function(e){return s.test(e.label||e.value||e)})}}),e.widget("ui.autocomplete",e.ui.autocomplete,{options:{messages:{noResults:"No search results.",results:function(e){return e+(e>1?" results are":" result is")+" available, use up and down arrow keys to navigate."}}},__response:function(t){var i;this._superApply(arguments),this.options.disabled||this.cancelSearch||(i=t&&t.length?this.options.messages.results(t.length):this.options.messages.noResults,this.liveRegion.children().hide(),e("<div>").text(i).appendTo(this.liveRegion))}}),e.ui.autocomplete;var r,h="ui-button ui-widget ui-state-default ui-corner-all",l="ui-button-icons-only ui-button-icon-only ui-button-text-icons ui-button-text-icon-primary ui-button-text-icon-secondary ui-button-text-only",u=function(){var t=e(this);setTimeout(function(){t.find(":ui-button").button("refresh")},1)},d=function(t){var i=t.name,s=t.form,n=e([]);return i&&(i=i.replace(/'/g,"\\'"),n=s?e(s).find("[name='"+i+"'][type=radio]"):e("[name='"+i+"'][type=radio]",t.ownerDocument).filter(function(){return!this.form})),n};e.widget("ui.button",{version:"1.11.4",defaultElement:"<button>",options:{disabled:null,text:!0,label:null,icons:{primary:null,secondary:null}},_create:function(){this.element.closest("form").unbind("reset"+this.eventNamespace).bind("reset"+this.eventNamespace,u),"boolean"!=typeof this.options.disabled?this.options.disabled=!!this.element.prop("disabled"):this.element.prop("disabled",this.options.disabled),this._determineButtonType(),this.hasTitle=!!this.buttonElement.attr("title");var t=this,i=this.options,s="checkbox"===this.type||"radio"===this.type,n=s?"":"ui-state-active";null===i.label&&(i.label="input"===this.type?this.buttonElement.val():this.buttonElement.html()),this._hoverable(this.buttonElement),this.buttonElement.addClass(h).attr("role","button").bind("mouseenter"+this.eventNamespace,function(){i.disabled||this===r&&e(this).addClass("ui-state-active")}).bind("mouseleave"+this.eventNamespace,function(){i.disabled||e(this).removeClass(n)}).bind("click"+this.eventNamespace,function(e){i.disabled&&(e.preventDefault(),e.stopImmediatePropagation())}),this._on({focus:function(){this.buttonElement.addClass("ui-state-focus")},blur:function(){this.buttonElement.removeClass("ui-state-focus")}}),s&&this.element.bind("change"+this.eventNamespace,function(){t.refresh()}),"checkbox"===this.type?this.buttonElement.bind("click"+this.eventNamespace,function(){return i.disabled?!1:void 0}):"radio"===this.type?this.buttonElement.bind("click"+this.eventNamespace,function(){if(i.disabled)return!1;e(this).addClass("ui-state-active"),t.buttonElement.attr("aria-pressed","true");var s=t.element[0];d(s).not(s).map(function(){return e(this).button("widget")[0]}).removeClass("ui-state-active").attr("aria-pressed","false")}):(this.buttonElement.bind("mousedown"+this.eventNamespace,function(){return i.disabled?!1:(e(this).addClass("ui-state-active"),r=this,t.document.one("mouseup",function(){r=null}),void 0)}).bind("mouseup"+this.eventNamespace,function(){return i.disabled?!1:(e(this).removeClass("ui-state-active"),void 0)}).bind("keydown"+this.eventNamespace,function(t){return i.disabled?!1:((t.keyCode===e.ui.keyCode.SPACE||t.keyCode===e.ui.keyCode.ENTER)&&e(this).addClass("ui-state-active"),void 0)}).bind("keyup"+this.eventNamespace+" blur"+this.eventNamespace,function(){e(this).removeClass("ui-state-active")}),this.buttonElement.is("a")&&this.buttonElement.keyup(function(t){t.keyCode===e.ui.keyCode.SPACE&&e(this).click()})),this._setOption("disabled",i.disabled),this._resetButton()},_determineButtonType:function(){var e,t,i;this.type=this.element.is("[type=checkbox]")?"checkbox":this.element.is("[type=radio]")?"radio":this.element.is("input")?"input":"button","checkbox"===this.type||"radio"===this.type?(e=this.element.parents().last(),t="label[for='"+this.element.attr("id")+"']",this.buttonElement=e.find(t),this.buttonElement.length||(e=e.length?e.siblings():this.element.siblings(),this.buttonElement=e.filter(t),this.buttonElement.length||(this.buttonElement=e.find(t))),this.element.addClass("ui-helper-hidden-accessible"),i=this.element.is(":checked"),i&&this.buttonElement.addClass("ui-state-active"),this.buttonElement.prop("aria-pressed",i)):this.buttonElement=this.element},widget:function(){return this.buttonElement},_destroy:function(){this.element.removeClass("ui-helper-hidden-accessible"),this.buttonElement.removeClass(h+" ui-state-active "+l).removeAttr("role").removeAttr("aria-pressed").html(this.buttonElement.find(".ui-button-text").html()),this.hasTitle||this.buttonElement.removeAttr("title")},_setOption:function(e,t){return this._super(e,t),"disabled"===e?(this.widget().toggleClass("ui-state-disabled",!!t),this.element.prop("disabled",!!t),t&&("checkbox"===this.type||"radio"===this.type?this.buttonElement.removeClass("ui-state-focus"):this.buttonElement.removeClass("ui-state-focus ui-state-active")),void 0):(this._resetButton(),void 0)},refresh:function(){var t=this.element.is("input, button")?this.element.is(":disabled"):this.element.hasClass("ui-button-disabled");t!==this.options.disabled&&this._setOption("disabled",t),"radio"===this.type?d(this.element[0]).each(function(){e(this).is(":checked")?e(this).button("widget").addClass("ui-state-active").attr("aria-pressed","true"):e(this).button("widget").removeClass("ui-state-active").attr("aria-pressed","false")}):"checkbox"===this.type&&(this.element.is(":checked")?this.buttonElement.addClass("ui-state-active").attr("aria-pressed","true"):this.buttonElement.removeClass("ui-state-active").attr("aria-pressed","false"))},_resetButton:function(){if("input"===this.type)return this.options.label&&this.element.val(this.options.label),void 0;var t=this.buttonElement.removeClass(l),i=e("<span></span>",this.document[0]).addClass("ui-button-text").html(this.options.label).appendTo(t.empty()).text(),s=this.options.icons,n=s.primary&&s.secondary,a=[];s.primary||s.secondary?(this.options.text&&a.push("ui-button-text-icon"+(n?"s":s.primary?"-primary":"-secondary")),s.primary&&t.prepend("<span class='ui-button-icon-primary ui-icon "+s.primary+"'></span>"),s.secondary&&t.append("<span class='ui-button-icon-secondary ui-icon "+s.secondary+"'></span>"),this.options.text||(a.push(n?"ui-button-icons-only":"ui-button-icon-only"),this.hasTitle||t.attr("title",e.trim(i)))):a.push("ui-button-text-only"),t.addClass(a.join(" "))}}),e.widget("ui.buttonset",{version:"1.11.4",options:{items:"button, input[type=button], input[type=submit], input[type=reset], input[type=checkbox], input[type=radio], a, :data(ui-button)"},_create:function(){this.element.addClass("ui-buttonset")},_init:function(){this.refresh()},_setOption:function(e,t){"disabled"===e&&this.buttons.button("option",e,t),this._super(e,t)},refresh:function(){var t="rtl"===this.element.css("direction"),i=this.element.find(this.options.items),s=i.filter(":ui-button");i.not(":ui-button").button(),s.button("refresh"),this.buttons=i.map(function(){return e(this).button("widget")[0]}).removeClass("ui-corner-all ui-corner-left ui-corner-right").filter(":first").addClass(t?"ui-corner-right":"ui-corner-left").end().filter(":last").addClass(t?"ui-corner-left":"ui-corner-right").end().end()},_destroy:function(){this.element.removeClass("ui-buttonset"),this.buttons.map(function(){return e(this).button("widget")[0]}).removeClass("ui-corner-left ui-corner-right").end().button("destroy")}}),e.ui.button,e.widget("ui.dialog",{version:"1.11.4",options:{appendTo:"body",autoOpen:!0,buttons:[],closeOnEscape:!0,closeText:"Close",dialogClass:"",draggable:!0,hide:null,height:"auto",maxHeight:null,maxWidth:null,minHeight:150,minWidth:150,modal:!1,position:{my:"center",at:"center",of:window,collision:"fit",using:function(t){var i=e(this).css(t).offset().top;0>i&&e(this).css("top",t.top-i)}},resizable:!0,show:null,title:null,width:300,beforeClose:null,close:null,drag:null,dragStart:null,dragStop:null,focus:null,open:null,resize:null,resizeStart:null,resizeStop:null},sizeRelatedOptions:{buttons:!0,height:!0,maxHeight:!0,maxWidth:!0,minHeight:!0,minWidth:!0,width:!0},resizableRelatedOptions:{maxHeight:!0,maxWidth:!0,minHeight:!0,minWidth:!0},_create:function(){this.originalCss={display:this.element[0].style.display,width:this.element[0].style.width,minHeight:this.element[0].style.minHeight,maxHeight:this.element[0].style.maxHeight,height:this.element[0].style.height},this.originalPosition={parent:this.element.parent(),index:this.element.parent().children().index(this.element)},this.originalTitle=this.element.attr("title"),this.options.title=this.options.title||this.originalTitle,this._createWrapper(),this.element.show().removeAttr("title").addClass("ui-dialog-content ui-widget-content").appendTo(this.uiDialog),this._createTitlebar(),this._createButtonPane(),this.options.draggable&&e.fn.draggable&&this._makeDraggable(),this.options.resizable&&e.fn.resizable&&this._makeResizable(),this._isOpen=!1,this._trackFocus()},_init:function(){this.options.autoOpen&&this.open()},_appendTo:function(){var t=this.options.appendTo;return t&&(t.jquery||t.nodeType)?e(t):this.document.find(t||"body").eq(0)},_destroy:function(){var e,t=this.originalPosition;this._untrackInstance(),this._destroyOverlay(),this.element.removeUniqueId().removeClass("ui-dialog-content ui-widget-content").css(this.originalCss).detach(),this.uiDialog.stop(!0,!0).remove(),this.originalTitle&&this.element.attr("title",this.originalTitle),e=t.parent.children().eq(t.index),e.length&&e[0]!==this.element[0]?e.before(this.element):t.parent.append(this.element)},widget:function(){return this.uiDialog},disable:e.noop,enable:e.noop,close:function(t){var i,s=this;if(this._isOpen&&this._trigger("beforeClose",t)!==!1){if(this._isOpen=!1,this._focusedElement=null,this._destroyOverlay(),this._untrackInstance(),!this.opener.filter(":focusable").focus().length)try{i=this.document[0].activeElement,i&&"body"!==i.nodeName.toLowerCase()&&e(i).blur()}catch(n){}this._hide(this.uiDialog,this.options.hide,function(){s._trigger("close",t)})}},isOpen:function(){return this._isOpen},moveToTop:function(){this._moveToTop()},_moveToTop:function(t,i){var s=!1,n=this.uiDialog.siblings(".ui-front:visible").map(function(){return+e(this).css("z-index")}).get(),a=Math.max.apply(null,n);return a>=+this.uiDialog.css("z-index")&&(this.uiDialog.css("z-index",a+1),s=!0),s&&!i&&this._trigger("focus",t),s},open:function(){var t=this;return this._isOpen?(this._moveToTop()&&this._focusTabbable(),void 0):(this._isOpen=!0,this.opener=e(this.document[0].activeElement),this._size(),this._position(),this._createOverlay(),this._moveToTop(null,!0),this.overlay&&this.overlay.css("z-index",this.uiDialog.css("z-index")-1),this._show(this.uiDialog,this.options.show,function(){t._focusTabbable(),t._trigger("focus")}),this._makeFocusTarget(),this._trigger("open"),void 0)},_focusTabbable:function(){var e=this._focusedElement;e||(e=this.element.find("[autofocus]")),e.length||(e=this.element.find(":tabbable")),e.length||(e=this.uiDialogButtonPane.find(":tabbable")),e.length||(e=this.uiDialogTitlebarClose.filter(":tabbable")),e.length||(e=this.uiDialog),e.eq(0).focus()},_keepFocus:function(t){function i(){var t=this.document[0].activeElement,i=this.uiDialog[0]===t||e.contains(this.uiDialog[0],t);i||this._focusTabbable()}t.preventDefault(),i.call(this),this._delay(i)},_createWrapper:function(){this.uiDialog=e("<div>").addClass("ui-dialog ui-widget ui-widget-content ui-corner-all ui-front "+this.options.dialogClass).hide().attr({tabIndex:-1,role:"dialog"}).appendTo(this._appendTo()),this._on(this.uiDialog,{keydown:function(t){if(this.options.closeOnEscape&&!t.isDefaultPrevented()&&t.keyCode&&t.keyCode===e.ui.keyCode.ESCAPE)return t.preventDefault(),this.close(t),void 0;if(t.keyCode===e.ui.keyCode.TAB&&!t.isDefaultPrevented()){var i=this.uiDialog.find(":tabbable"),s=i.filter(":first"),n=i.filter(":last");t.target!==n[0]&&t.target!==this.uiDialog[0]||t.shiftKey?t.target!==s[0]&&t.target!==this.uiDialog[0]||!t.shiftKey||(this._delay(function(){n.focus()}),t.preventDefault()):(this._delay(function(){s.focus()}),t.preventDefault())}},mousedown:function(e){this._moveToTop(e)&&this._focusTabbable()}}),this.element.find("[aria-describedby]").length||this.uiDialog.attr({"aria-describedby":this.element.uniqueId().attr("id")})},_createTitlebar:function(){var t;this.uiDialogTitlebar=e("<div>").addClass("ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix").prependTo(this.uiDialog),this._on(this.uiDialogTitlebar,{mousedown:function(t){e(t.target).closest(".ui-dialog-titlebar-close")||this.uiDialog.focus()}}),this.uiDialogTitlebarClose=e("<button type='button'></button>").button({label:this.options.closeText,icons:{primary:"ui-icon-closethick"},text:!1}).addClass("ui-dialog-titlebar-close").appendTo(this.uiDialogTitlebar),this._on(this.uiDialogTitlebarClose,{click:function(e){e.preventDefault(),this.close(e)}}),t=e("<span>").uniqueId().addClass("ui-dialog-title").prependTo(this.uiDialogTitlebar),this._title(t),this.uiDialog.attr({"aria-labelledby":t.attr("id")})},_title:function(e){this.options.title||e.html("&#160;"),e.text(this.options.title)
},_createButtonPane:function(){this.uiDialogButtonPane=e("<div>").addClass("ui-dialog-buttonpane ui-widget-content ui-helper-clearfix"),this.uiButtonSet=e("<div>").addClass("ui-dialog-buttonset").appendTo(this.uiDialogButtonPane),this._createButtons()},_createButtons:function(){var t=this,i=this.options.buttons;return this.uiDialogButtonPane.remove(),this.uiButtonSet.empty(),e.isEmptyObject(i)||e.isArray(i)&&!i.length?(this.uiDialog.removeClass("ui-dialog-buttons"),void 0):(e.each(i,function(i,s){var n,a;s=e.isFunction(s)?{click:s,text:i}:s,s=e.extend({type:"button"},s),n=s.click,s.click=function(){n.apply(t.element[0],arguments)},a={icons:s.icons,text:s.showText},delete s.icons,delete s.showText,e("<button></button>",s).button(a).appendTo(t.uiButtonSet)}),this.uiDialog.addClass("ui-dialog-buttons"),this.uiDialogButtonPane.appendTo(this.uiDialog),void 0)},_makeDraggable:function(){function t(e){return{position:e.position,offset:e.offset}}var i=this,s=this.options;this.uiDialog.draggable({cancel:".ui-dialog-content, .ui-dialog-titlebar-close",handle:".ui-dialog-titlebar",containment:"document",start:function(s,n){e(this).addClass("ui-dialog-dragging"),i._blockFrames(),i._trigger("dragStart",s,t(n))},drag:function(e,s){i._trigger("drag",e,t(s))},stop:function(n,a){var o=a.offset.left-i.document.scrollLeft(),r=a.offset.top-i.document.scrollTop();s.position={my:"left top",at:"left"+(o>=0?"+":"")+o+" "+"top"+(r>=0?"+":"")+r,of:i.window},e(this).removeClass("ui-dialog-dragging"),i._unblockFrames(),i._trigger("dragStop",n,t(a))}})},_makeResizable:function(){function t(e){return{originalPosition:e.originalPosition,originalSize:e.originalSize,position:e.position,size:e.size}}var i=this,s=this.options,n=s.resizable,a=this.uiDialog.css("position"),o="string"==typeof n?n:"n,e,s,w,se,sw,ne,nw";this.uiDialog.resizable({cancel:".ui-dialog-content",containment:"document",alsoResize:this.element,maxWidth:s.maxWidth,maxHeight:s.maxHeight,minWidth:s.minWidth,minHeight:this._minHeight(),handles:o,start:function(s,n){e(this).addClass("ui-dialog-resizing"),i._blockFrames(),i._trigger("resizeStart",s,t(n))},resize:function(e,s){i._trigger("resize",e,t(s))},stop:function(n,a){var o=i.uiDialog.offset(),r=o.left-i.document.scrollLeft(),h=o.top-i.document.scrollTop();s.height=i.uiDialog.height(),s.width=i.uiDialog.width(),s.position={my:"left top",at:"left"+(r>=0?"+":"")+r+" "+"top"+(h>=0?"+":"")+h,of:i.window},e(this).removeClass("ui-dialog-resizing"),i._unblockFrames(),i._trigger("resizeStop",n,t(a))}}).css("position",a)},_trackFocus:function(){this._on(this.widget(),{focusin:function(t){this._makeFocusTarget(),this._focusedElement=e(t.target)}})},_makeFocusTarget:function(){this._untrackInstance(),this._trackingInstances().unshift(this)},_untrackInstance:function(){var t=this._trackingInstances(),i=e.inArray(this,t);-1!==i&&t.splice(i,1)},_trackingInstances:function(){var e=this.document.data("ui-dialog-instances");return e||(e=[],this.document.data("ui-dialog-instances",e)),e},_minHeight:function(){var e=this.options;return"auto"===e.height?e.minHeight:Math.min(e.minHeight,e.height)},_position:function(){var e=this.uiDialog.is(":visible");e||this.uiDialog.show(),this.uiDialog.position(this.options.position),e||this.uiDialog.hide()},_setOptions:function(t){var i=this,s=!1,n={};e.each(t,function(e,t){i._setOption(e,t),e in i.sizeRelatedOptions&&(s=!0),e in i.resizableRelatedOptions&&(n[e]=t)}),s&&(this._size(),this._position()),this.uiDialog.is(":data(ui-resizable)")&&this.uiDialog.resizable("option",n)},_setOption:function(e,t){var i,s,n=this.uiDialog;"dialogClass"===e&&n.removeClass(this.options.dialogClass).addClass(t),"disabled"!==e&&(this._super(e,t),"appendTo"===e&&this.uiDialog.appendTo(this._appendTo()),"buttons"===e&&this._createButtons(),"closeText"===e&&this.uiDialogTitlebarClose.button({label:""+t}),"draggable"===e&&(i=n.is(":data(ui-draggable)"),i&&!t&&n.draggable("destroy"),!i&&t&&this._makeDraggable()),"position"===e&&this._position(),"resizable"===e&&(s=n.is(":data(ui-resizable)"),s&&!t&&n.resizable("destroy"),s&&"string"==typeof t&&n.resizable("option","handles",t),s||t===!1||this._makeResizable()),"title"===e&&this._title(this.uiDialogTitlebar.find(".ui-dialog-title")))},_size:function(){var e,t,i,s=this.options;this.element.show().css({width:"auto",minHeight:0,maxHeight:"none",height:0}),s.minWidth>s.width&&(s.width=s.minWidth),e=this.uiDialog.css({height:"auto",width:s.width}).outerHeight(),t=Math.max(0,s.minHeight-e),i="number"==typeof s.maxHeight?Math.max(0,s.maxHeight-e):"none","auto"===s.height?this.element.css({minHeight:t,maxHeight:i,height:"auto"}):this.element.height(Math.max(0,s.height-e)),this.uiDialog.is(":data(ui-resizable)")&&this.uiDialog.resizable("option","minHeight",this._minHeight())},_blockFrames:function(){this.iframeBlocks=this.document.find("iframe").map(function(){var t=e(this);return e("<div>").css({position:"absolute",width:t.outerWidth(),height:t.outerHeight()}).appendTo(t.parent()).offset(t.offset())[0]})},_unblockFrames:function(){this.iframeBlocks&&(this.iframeBlocks.remove(),delete this.iframeBlocks)},_allowInteraction:function(t){return e(t.target).closest(".ui-dialog").length?!0:!!e(t.target).closest(".ui-datepicker").length},_createOverlay:function(){if(this.options.modal){var t=!0;this._delay(function(){t=!1}),this.document.data("ui-dialog-overlays")||this._on(this.document,{focusin:function(e){t||this._allowInteraction(e)||(e.preventDefault(),this._trackingInstances()[0]._focusTabbable())}}),this.overlay=e("<div>").addClass("ui-widget-overlay ui-front").appendTo(this._appendTo()),this._on(this.overlay,{mousedown:"_keepFocus"}),this.document.data("ui-dialog-overlays",(this.document.data("ui-dialog-overlays")||0)+1)}},_destroyOverlay:function(){if(this.options.modal&&this.overlay){var e=this.document.data("ui-dialog-overlays")-1;e?this.document.data("ui-dialog-overlays",e):this.document.unbind("focusin").removeData("ui-dialog-overlays"),this.overlay.remove(),this.overlay=null}}}),e.widget("ui.progressbar",{version:"1.11.4",options:{max:100,value:0,change:null,complete:null},min:0,_create:function(){this.oldValue=this.options.value=this._constrainedValue(),this.element.addClass("ui-progressbar ui-widget ui-widget-content ui-corner-all").attr({role:"progressbar","aria-valuemin":this.min}),this.valueDiv=e("<div class='ui-progressbar-value ui-widget-header ui-corner-left'></div>").appendTo(this.element),this._refreshValue()},_destroy:function(){this.element.removeClass("ui-progressbar ui-widget ui-widget-content ui-corner-all").removeAttr("role").removeAttr("aria-valuemin").removeAttr("aria-valuemax").removeAttr("aria-valuenow"),this.valueDiv.remove()},value:function(e){return void 0===e?this.options.value:(this.options.value=this._constrainedValue(e),this._refreshValue(),void 0)},_constrainedValue:function(e){return void 0===e&&(e=this.options.value),this.indeterminate=e===!1,"number"!=typeof e&&(e=0),this.indeterminate?!1:Math.min(this.options.max,Math.max(this.min,e))},_setOptions:function(e){var t=e.value;delete e.value,this._super(e),this.options.value=this._constrainedValue(t),this._refreshValue()},_setOption:function(e,t){"max"===e&&(t=Math.max(this.min,t)),"disabled"===e&&this.element.toggleClass("ui-state-disabled",!!t).attr("aria-disabled",t),this._super(e,t)},_percentage:function(){return this.indeterminate?100:100*(this.options.value-this.min)/(this.options.max-this.min)},_refreshValue:function(){var t=this.options.value,i=this._percentage();this.valueDiv.toggle(this.indeterminate||t>this.min).toggleClass("ui-corner-right",t===this.options.max).width(i.toFixed(0)+"%"),this.element.toggleClass("ui-progressbar-indeterminate",this.indeterminate),this.indeterminate?(this.element.removeAttr("aria-valuenow"),this.overlayDiv||(this.overlayDiv=e("<div class='ui-progressbar-overlay'></div>").appendTo(this.valueDiv))):(this.element.attr({"aria-valuemax":this.options.max,"aria-valuenow":t}),this.overlayDiv&&(this.overlayDiv.remove(),this.overlayDiv=null)),this.oldValue!==t&&(this.oldValue=t,this._trigger("change")),t===this.options.max&&this._trigger("complete")}}),e.widget("ui.selectmenu",{version:"1.11.4",defaultElement:"<select>",options:{appendTo:null,disabled:null,icons:{button:"ui-icon-triangle-1-s"},position:{my:"left top",at:"left bottom",collision:"none"},width:null,change:null,close:null,focus:null,open:null,select:null},_create:function(){var e=this.element.uniqueId().attr("id");this.ids={element:e,button:e+"-button",menu:e+"-menu"},this._drawButton(),this._drawMenu(),this.options.disabled&&this.disable()},_drawButton:function(){var t=this;this.label=e("label[for='"+this.ids.element+"']").attr("for",this.ids.button),this._on(this.label,{click:function(e){this.button.focus(),e.preventDefault()}}),this.element.hide(),this.button=e("<span>",{"class":"ui-selectmenu-button ui-widget ui-state-default ui-corner-all",tabindex:this.options.disabled?-1:0,id:this.ids.button,role:"combobox","aria-expanded":"false","aria-autocomplete":"list","aria-owns":this.ids.menu,"aria-haspopup":"true"}).insertAfter(this.element),e("<span>",{"class":"ui-icon "+this.options.icons.button}).prependTo(this.button),this.buttonText=e("<span>",{"class":"ui-selectmenu-text"}).appendTo(this.button),this._setText(this.buttonText,this.element.find("option:selected").text()),this._resizeButton(),this._on(this.button,this._buttonEvents),this.button.one("focusin",function(){t.menuItems||t._refreshMenu()}),this._hoverable(this.button),this._focusable(this.button)},_drawMenu:function(){var t=this;this.menu=e("<ul>",{"aria-hidden":"true","aria-labelledby":this.ids.button,id:this.ids.menu}),this.menuWrap=e("<div>",{"class":"ui-selectmenu-menu ui-front"}).append(this.menu).appendTo(this._appendTo()),this.menuInstance=this.menu.menu({role:"listbox",select:function(e,i){e.preventDefault(),t._setSelection(),t._select(i.item.data("ui-selectmenu-item"),e)},focus:function(e,i){var s=i.item.data("ui-selectmenu-item");null!=t.focusIndex&&s.index!==t.focusIndex&&(t._trigger("focus",e,{item:s}),t.isOpen||t._select(s,e)),t.focusIndex=s.index,t.button.attr("aria-activedescendant",t.menuItems.eq(s.index).attr("id"))}}).menu("instance"),this.menu.addClass("ui-corner-bottom").removeClass("ui-corner-all"),this.menuInstance._off(this.menu,"mouseleave"),this.menuInstance._closeOnDocumentClick=function(){return!1},this.menuInstance._isDivider=function(){return!1}},refresh:function(){this._refreshMenu(),this._setText(this.buttonText,this._getSelectedItem().text()),this.options.width||this._resizeButton()},_refreshMenu:function(){this.menu.empty();var e,t=this.element.find("option");t.length&&(this._parseOptions(t),this._renderMenu(this.menu,this.items),this.menuInstance.refresh(),this.menuItems=this.menu.find("li").not(".ui-selectmenu-optgroup"),e=this._getSelectedItem(),this.menuInstance.focus(null,e),this._setAria(e.data("ui-selectmenu-item")),this._setOption("disabled",this.element.prop("disabled")))},open:function(e){this.options.disabled||(this.menuItems?(this.menu.find(".ui-state-focus").removeClass("ui-state-focus"),this.menuInstance.focus(null,this._getSelectedItem())):this._refreshMenu(),this.isOpen=!0,this._toggleAttr(),this._resizeMenu(),this._position(),this._on(this.document,this._documentClick),this._trigger("open",e))},_position:function(){this.menuWrap.position(e.extend({of:this.button},this.options.position))},close:function(e){this.isOpen&&(this.isOpen=!1,this._toggleAttr(),this.range=null,this._off(this.document),this._trigger("close",e))},widget:function(){return this.button},menuWidget:function(){return this.menu},_renderMenu:function(t,i){var s=this,n="";e.each(i,function(i,a){a.optgroup!==n&&(e("<li>",{"class":"ui-selectmenu-optgroup ui-menu-divider"+(a.element.parent("optgroup").prop("disabled")?" ui-state-disabled":""),text:a.optgroup}).appendTo(t),n=a.optgroup),s._renderItemData(t,a)})},_renderItemData:function(e,t){return this._renderItem(e,t).data("ui-selectmenu-item",t)},_renderItem:function(t,i){var s=e("<li>");return i.disabled&&s.addClass("ui-state-disabled"),this._setText(s,i.label),s.appendTo(t)},_setText:function(e,t){t?e.text(t):e.html("&#160;")},_move:function(e,t){var i,s,n=".ui-menu-item";this.isOpen?i=this.menuItems.eq(this.focusIndex):(i=this.menuItems.eq(this.element[0].selectedIndex),n+=":not(.ui-state-disabled)"),s="first"===e||"last"===e?i["first"===e?"prevAll":"nextAll"](n).eq(-1):i[e+"All"](n).eq(0),s.length&&this.menuInstance.focus(t,s)},_getSelectedItem:function(){return this.menuItems.eq(this.element[0].selectedIndex)},_toggle:function(e){this[this.isOpen?"close":"open"](e)},_setSelection:function(){var e;this.range&&(window.getSelection?(e=window.getSelection(),e.removeAllRanges(),e.addRange(this.range)):this.range.select(),this.button.focus())},_documentClick:{mousedown:function(t){this.isOpen&&(e(t.target).closest(".ui-selectmenu-menu, #"+this.ids.button).length||this.close(t))}},_buttonEvents:{mousedown:function(){var e;window.getSelection?(e=window.getSelection(),e.rangeCount&&(this.range=e.getRangeAt(0))):this.range=document.selection.createRange()},click:function(e){this._setSelection(),this._toggle(e)},keydown:function(t){var i=!0;switch(t.keyCode){case e.ui.keyCode.TAB:case e.ui.keyCode.ESCAPE:this.close(t),i=!1;break;case e.ui.keyCode.ENTER:this.isOpen&&this._selectFocusedItem(t);break;case e.ui.keyCode.UP:t.altKey?this._toggle(t):this._move("prev",t);break;case e.ui.keyCode.DOWN:t.altKey?this._toggle(t):this._move("next",t);break;case e.ui.keyCode.SPACE:this.isOpen?this._selectFocusedItem(t):this._toggle(t);break;case e.ui.keyCode.LEFT:this._move("prev",t);break;case e.ui.keyCode.RIGHT:this._move("next",t);break;case e.ui.keyCode.HOME:case e.ui.keyCode.PAGE_UP:this._move("first",t);break;case e.ui.keyCode.END:case e.ui.keyCode.PAGE_DOWN:this._move("last",t);break;default:this.menu.trigger(t),i=!1}i&&t.preventDefault()}},_selectFocusedItem:function(e){var t=this.menuItems.eq(this.focusIndex);t.hasClass("ui-state-disabled")||this._select(t.data("ui-selectmenu-item"),e)},_select:function(e,t){var i=this.element[0].selectedIndex;this.element[0].selectedIndex=e.index,this._setText(this.buttonText,e.label),this._setAria(e),this._trigger("select",t,{item:e}),e.index!==i&&this._trigger("change",t,{item:e}),this.close(t)},_setAria:function(e){var t=this.menuItems.eq(e.index).attr("id");this.button.attr({"aria-labelledby":t,"aria-activedescendant":t}),this.menu.attr("aria-activedescendant",t)},_setOption:function(e,t){"icons"===e&&this.button.find("span.ui-icon").removeClass(this.options.icons.button).addClass(t.button),this._super(e,t),"appendTo"===e&&this.menuWrap.appendTo(this._appendTo()),"disabled"===e&&(this.menuInstance.option("disabled",t),this.button.toggleClass("ui-state-disabled",t).attr("aria-disabled",t),this.element.prop("disabled",t),t?(this.button.attr("tabindex",-1),this.close()):this.button.attr("tabindex",0)),"width"===e&&this._resizeButton()},_appendTo:function(){var t=this.options.appendTo;return t&&(t=t.jquery||t.nodeType?e(t):this.document.find(t).eq(0)),t&&t[0]||(t=this.element.closest(".ui-front")),t.length||(t=this.document[0].body),t},_toggleAttr:function(){this.button.toggleClass("ui-corner-top",this.isOpen).toggleClass("ui-corner-all",!this.isOpen).attr("aria-expanded",this.isOpen),this.menuWrap.toggleClass("ui-selectmenu-open",this.isOpen),this.menu.attr("aria-hidden",!this.isOpen)},_resizeButton:function(){var e=this.options.width;e||(e=this.element.show().outerWidth(),this.element.hide()),this.button.outerWidth(e)},_resizeMenu:function(){this.menu.outerWidth(Math.max(this.button.outerWidth(),this.menu.width("").outerWidth()+1))},_getCreateOptions:function(){return{disabled:this.element.prop("disabled")}},_parseOptions:function(t){var i=[];t.each(function(t,s){var n=e(s),a=n.parent("optgroup");i.push({element:n,index:t,value:n.val(),label:n.text(),optgroup:a.attr("label")||"",disabled:a.prop("disabled")||n.prop("disabled")})}),this.items=i},_destroy:function(){this.menuWrap.remove(),this.button.remove(),this.element.show(),this.element.removeUniqueId(),this.label.attr("for",this.ids.element)}}),e.widget("ui.slider",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"slide",options:{animate:!1,distance:0,max:100,min:0,orientation:"horizontal",range:!1,step:1,value:0,values:null,change:null,slide:null,start:null,stop:null},numPages:5,_create:function(){this._keySliding=!1,this._mouseSliding=!1,this._animateOff=!0,this._handleIndex=null,this._detectOrientation(),this._mouseInit(),this._calculateNewMax(),this.element.addClass("ui-slider ui-slider-"+this.orientation+" ui-widget"+" ui-widget-content"+" ui-corner-all"),this._refresh(),this._setOption("disabled",this.options.disabled),this._animateOff=!1},_refresh:function(){this._createRange(),this._createHandles(),this._setupEvents(),this._refreshValue()},_createHandles:function(){var t,i,s=this.options,n=this.element.find(".ui-slider-handle").addClass("ui-state-default ui-corner-all"),a="<span class='ui-slider-handle ui-state-default ui-corner-all' tabindex='0'></span>",o=[];for(i=s.values&&s.values.length||1,n.length>i&&(n.slice(i).remove(),n=n.slice(0,i)),t=n.length;i>t;t++)o.push(a);this.handles=n.add(e(o.join("")).appendTo(this.element)),this.handle=this.handles.eq(0),this.handles.each(function(t){e(this).data("ui-slider-handle-index",t)})},_createRange:function(){var t=this.options,i="";t.range?(t.range===!0&&(t.values?t.values.length&&2!==t.values.length?t.values=[t.values[0],t.values[0]]:e.isArray(t.values)&&(t.values=t.values.slice(0)):t.values=[this._valueMin(),this._valueMin()]),this.range&&this.range.length?this.range.removeClass("ui-slider-range-min ui-slider-range-max").css({left:"",bottom:""}):(this.range=e("<div></div>").appendTo(this.element),i="ui-slider-range ui-widget-header ui-corner-all"),this.range.addClass(i+("min"===t.range||"max"===t.range?" ui-slider-range-"+t.range:""))):(this.range&&this.range.remove(),this.range=null)},_setupEvents:function(){this._off(this.handles),this._on(this.handles,this._handleEvents),this._hoverable(this.handles),this._focusable(this.handles)},_destroy:function(){this.handles.remove(),this.range&&this.range.remove(),this.element.removeClass("ui-slider ui-slider-horizontal ui-slider-vertical ui-widget ui-widget-content ui-corner-all"),this._mouseDestroy()},_mouseCapture:function(t){var i,s,n,a,o,r,h,l,u=this,d=this.options;return d.disabled?!1:(this.elementSize={width:this.element.outerWidth(),height:this.element.outerHeight()},this.elementOffset=this.element.offset(),i={x:t.pageX,y:t.pageY},s=this._normValueFromMouse(i),n=this._valueMax()-this._valueMin()+1,this.handles.each(function(t){var i=Math.abs(s-u.values(t));(n>i||n===i&&(t===u._lastChangedValue||u.values(t)===d.min))&&(n=i,a=e(this),o=t)}),r=this._start(t,o),r===!1?!1:(this._mouseSliding=!0,this._handleIndex=o,a.addClass("ui-state-active").focus(),h=a.offset(),l=!e(t.target).parents().addBack().is(".ui-slider-handle"),this._clickOffset=l?{left:0,top:0}:{left:t.pageX-h.left-a.width()/2,top:t.pageY-h.top-a.height()/2-(parseInt(a.css("borderTopWidth"),10)||0)-(parseInt(a.css("borderBottomWidth"),10)||0)+(parseInt(a.css("marginTop"),10)||0)},this.handles.hasClass("ui-state-hover")||this._slide(t,o,s),this._animateOff=!0,!0))},_mouseStart:function(){return!0},_mouseDrag:function(e){var t={x:e.pageX,y:e.pageY},i=this._normValueFromMouse(t);return this._slide(e,this._handleIndex,i),!1},_mouseStop:function(e){return this.handles.removeClass("ui-state-active"),this._mouseSliding=!1,this._stop(e,this._handleIndex),this._change(e,this._handleIndex),this._handleIndex=null,this._clickOffset=null,this._animateOff=!1,!1},_detectOrientation:function(){this.orientation="vertical"===this.options.orientation?"vertical":"horizontal"},_normValueFromMouse:function(e){var t,i,s,n,a;return"horizontal"===this.orientation?(t=this.elementSize.width,i=e.x-this.elementOffset.left-(this._clickOffset?this._clickOffset.left:0)):(t=this.elementSize.height,i=e.y-this.elementOffset.top-(this._clickOffset?this._clickOffset.top:0)),s=i/t,s>1&&(s=1),0>s&&(s=0),"vertical"===this.orientation&&(s=1-s),n=this._valueMax()-this._valueMin(),a=this._valueMin()+s*n,this._trimAlignValue(a)},_start:function(e,t){var i={handle:this.handles[t],value:this.value()};return this.options.values&&this.options.values.length&&(i.value=this.values(t),i.values=this.values()),this._trigger("start",e,i)},_slide:function(e,t,i){var s,n,a;this.options.values&&this.options.values.length?(s=this.values(t?0:1),2===this.options.values.length&&this.options.range===!0&&(0===t&&i>s||1===t&&s>i)&&(i=s),i!==this.values(t)&&(n=this.values(),n[t]=i,a=this._trigger("slide",e,{handle:this.handles[t],value:i,values:n}),s=this.values(t?0:1),a!==!1&&this.values(t,i))):i!==this.value()&&(a=this._trigger("slide",e,{handle:this.handles[t],value:i}),a!==!1&&this.value(i))},_stop:function(e,t){var i={handle:this.handles[t],value:this.value()};this.options.values&&this.options.values.length&&(i.value=this.values(t),i.values=this.values()),this._trigger("stop",e,i)},_change:function(e,t){if(!this._keySliding&&!this._mouseSliding){var i={handle:this.handles[t],value:this.value()};this.options.values&&this.options.values.length&&(i.value=this.values(t),i.values=this.values()),this._lastChangedValue=t,this._trigger("change",e,i)}},value:function(e){return arguments.length?(this.options.value=this._trimAlignValue(e),this._refreshValue(),this._change(null,0),void 0):this._value()},values:function(t,i){var s,n,a;if(arguments.length>1)return this.options.values[t]=this._trimAlignValue(i),this._refreshValue(),this._change(null,t),void 0;if(!arguments.length)return this._values();if(!e.isArray(arguments[0]))return this.options.values&&this.options.values.length?this._values(t):this.value();for(s=this.options.values,n=arguments[0],a=0;s.length>a;a+=1)s[a]=this._trimAlignValue(n[a]),this._change(null,a);this._refreshValue()},_setOption:function(t,i){var s,n=0;switch("range"===t&&this.options.range===!0&&("min"===i?(this.options.value=this._values(0),this.options.values=null):"max"===i&&(this.options.value=this._values(this.options.values.length-1),this.options.values=null)),e.isArray(this.options.values)&&(n=this.options.values.length),"disabled"===t&&this.element.toggleClass("ui-state-disabled",!!i),this._super(t,i),t){case"orientation":this._detectOrientation(),this.element.removeClass("ui-slider-horizontal ui-slider-vertical").addClass("ui-slider-"+this.orientation),this._refreshValue(),this.handles.css("horizontal"===i?"bottom":"left","");break;case"value":this._animateOff=!0,this._refreshValue(),this._change(null,0),this._animateOff=!1;break;case"values":for(this._animateOff=!0,this._refreshValue(),s=0;n>s;s+=1)this._change(null,s);this._animateOff=!1;break;case"step":case"min":case"max":this._animateOff=!0,this._calculateNewMax(),this._refreshValue(),this._animateOff=!1;break;case"range":this._animateOff=!0,this._refresh(),this._animateOff=!1}},_value:function(){var e=this.options.value;return e=this._trimAlignValue(e)},_values:function(e){var t,i,s;if(arguments.length)return t=this.options.values[e],t=this._trimAlignValue(t);if(this.options.values&&this.options.values.length){for(i=this.options.values.slice(),s=0;i.length>s;s+=1)i[s]=this._trimAlignValue(i[s]);return i}return[]},_trimAlignValue:function(e){if(this._valueMin()>=e)return this._valueMin();if(e>=this._valueMax())return this._valueMax();var t=this.options.step>0?this.options.step:1,i=(e-this._valueMin())%t,s=e-i;return 2*Math.abs(i)>=t&&(s+=i>0?t:-t),parseFloat(s.toFixed(5))},_calculateNewMax:function(){var e=this.options.max,t=this._valueMin(),i=this.options.step,s=Math.floor(+(e-t).toFixed(this._precision())/i)*i;e=s+t,this.max=parseFloat(e.toFixed(this._precision()))},_precision:function(){var e=this._precisionOf(this.options.step);return null!==this.options.min&&(e=Math.max(e,this._precisionOf(this.options.min))),e},_precisionOf:function(e){var t=""+e,i=t.indexOf(".");return-1===i?0:t.length-i-1},_valueMin:function(){return this.options.min},_valueMax:function(){return this.max},_refreshValue:function(){var t,i,s,n,a,o=this.options.range,r=this.options,h=this,l=this._animateOff?!1:r.animate,u={};this.options.values&&this.options.values.length?this.handles.each(function(s){i=100*((h.values(s)-h._valueMin())/(h._valueMax()-h._valueMin())),u["horizontal"===h.orientation?"left":"bottom"]=i+"%",e(this).stop(1,1)[l?"animate":"css"](u,r.animate),h.options.range===!0&&("horizontal"===h.orientation?(0===s&&h.range.stop(1,1)[l?"animate":"css"]({left:i+"%"},r.animate),1===s&&h.range[l?"animate":"css"]({width:i-t+"%"},{queue:!1,duration:r.animate})):(0===s&&h.range.stop(1,1)[l?"animate":"css"]({bottom:i+"%"},r.animate),1===s&&h.range[l?"animate":"css"]({height:i-t+"%"},{queue:!1,duration:r.animate}))),t=i}):(s=this.value(),n=this._valueMin(),a=this._valueMax(),i=a!==n?100*((s-n)/(a-n)):0,u["horizontal"===this.orientation?"left":"bottom"]=i+"%",this.handle.stop(1,1)[l?"animate":"css"](u,r.animate),"min"===o&&"horizontal"===this.orientation&&this.range.stop(1,1)[l?"animate":"css"]({width:i+"%"},r.animate),"max"===o&&"horizontal"===this.orientation&&this.range[l?"animate":"css"]({width:100-i+"%"},{queue:!1,duration:r.animate}),"min"===o&&"vertical"===this.orientation&&this.range.stop(1,1)[l?"animate":"css"]({height:i+"%"},r.animate),"max"===o&&"vertical"===this.orientation&&this.range[l?"animate":"css"]({height:100-i+"%"},{queue:!1,duration:r.animate}))},_handleEvents:{keydown:function(t){var i,s,n,a,o=e(t.target).data("ui-slider-handle-index");switch(t.keyCode){case e.ui.keyCode.HOME:case e.ui.keyCode.END:case e.ui.keyCode.PAGE_UP:case e.ui.keyCode.PAGE_DOWN:case e.ui.keyCode.UP:case e.ui.keyCode.RIGHT:case e.ui.keyCode.DOWN:case e.ui.keyCode.LEFT:if(t.preventDefault(),!this._keySliding&&(this._keySliding=!0,e(t.target).addClass("ui-state-active"),i=this._start(t,o),i===!1))return}switch(a=this.options.step,s=n=this.options.values&&this.options.values.length?this.values(o):this.value(),t.keyCode){case e.ui.keyCode.HOME:n=this._valueMin();break;case e.ui.keyCode.END:n=this._valueMax();break;case e.ui.keyCode.PAGE_UP:n=this._trimAlignValue(s+(this._valueMax()-this._valueMin())/this.numPages);break;case e.ui.keyCode.PAGE_DOWN:n=this._trimAlignValue(s-(this._valueMax()-this._valueMin())/this.numPages);break;case e.ui.keyCode.UP:case e.ui.keyCode.RIGHT:if(s===this._valueMax())return;n=this._trimAlignValue(s+a);break;case e.ui.keyCode.DOWN:case e.ui.keyCode.LEFT:if(s===this._valueMin())return;n=this._trimAlignValue(s-a)}this._slide(t,o,n)},keyup:function(t){var i=e(t.target).data("ui-slider-handle-index");this._keySliding&&(this._keySliding=!1,this._stop(t,i),this._change(t,i),e(t.target).removeClass("ui-state-active"))}}}),e.widget("ui.spinner",{version:"1.11.4",defaultElement:"<input>",widgetEventPrefix:"spin",options:{culture:null,icons:{down:"ui-icon-triangle-1-s",up:"ui-icon-triangle-1-n"},incremental:!0,max:null,min:null,numberFormat:null,page:10,step:1,change:null,spin:null,start:null,stop:null},_create:function(){this._setOption("max",this.options.max),this._setOption("min",this.options.min),this._setOption("step",this.options.step),""!==this.value()&&this._value(this.element.val(),!0),this._draw(),this._on(this._events),this._refresh(),this._on(this.window,{beforeunload:function(){this.element.removeAttr("autocomplete")}})},_getCreateOptions:function(){var t={},i=this.element;return e.each(["min","max","step"],function(e,s){var n=i.attr(s);void 0!==n&&n.length&&(t[s]=n)}),t},_events:{keydown:function(e){this._start(e)&&this._keydown(e)&&e.preventDefault()},keyup:"_stop",focus:function(){this.previous=this.element.val()},blur:function(e){return this.cancelBlur?(delete this.cancelBlur,void 0):(this._stop(),this._refresh(),this.previous!==this.element.val()&&this._trigger("change",e),void 0)},mousewheel:function(e,t){if(t){if(!this.spinning&&!this._start(e))return!1;this._spin((t>0?1:-1)*this.options.step,e),clearTimeout(this.mousewheelTimer),this.mousewheelTimer=this._delay(function(){this.spinning&&this._stop(e)},100),e.preventDefault()}},"mousedown .ui-spinner-button":function(t){function i(){var e=this.element[0]===this.document[0].activeElement;e||(this.element.focus(),this.previous=s,this._delay(function(){this.previous=s}))}var s;s=this.element[0]===this.document[0].activeElement?this.previous:this.element.val(),t.preventDefault(),i.call(this),this.cancelBlur=!0,this._delay(function(){delete this.cancelBlur,i.call(this)}),this._start(t)!==!1&&this._repeat(null,e(t.currentTarget).hasClass("ui-spinner-up")?1:-1,t)},"mouseup .ui-spinner-button":"_stop","mouseenter .ui-spinner-button":function(t){return e(t.currentTarget).hasClass("ui-state-active")?this._start(t)===!1?!1:(this._repeat(null,e(t.currentTarget).hasClass("ui-spinner-up")?1:-1,t),void 0):void 0},"mouseleave .ui-spinner-button":"_stop"},_draw:function(){var e=this.uiSpinner=this.element.addClass("ui-spinner-input").attr("autocomplete","off").wrap(this._uiSpinnerHtml()).parent().append(this._buttonHtml());this.element.attr("role","spinbutton"),this.buttons=e.find(".ui-spinner-button").attr("tabIndex",-1).button().removeClass("ui-corner-all"),this.buttons.height()>Math.ceil(.5*e.height())&&e.height()>0&&e.height(e.height()),this.options.disabled&&this.disable()},_keydown:function(t){var i=this.options,s=e.ui.keyCode;switch(t.keyCode){case s.UP:return this._repeat(null,1,t),!0;case s.DOWN:return this._repeat(null,-1,t),!0;case s.PAGE_UP:return this._repeat(null,i.page,t),!0;case s.PAGE_DOWN:return this._repeat(null,-i.page,t),!0}return!1},_uiSpinnerHtml:function(){return"<span class='ui-spinner ui-widget ui-widget-content ui-corner-all'></span>"},_buttonHtml:function(){return"<a class='ui-spinner-button ui-spinner-up ui-corner-tr'><span class='ui-icon "+this.options.icons.up+"'>&#9650;</span>"+"</a>"+"<a class='ui-spinner-button ui-spinner-down ui-corner-br'>"+"<span class='ui-icon "+this.options.icons.down+"'>&#9660;</span>"+"</a>"},_start:function(e){return this.spinning||this._trigger("start",e)!==!1?(this.counter||(this.counter=1),this.spinning=!0,!0):!1},_repeat:function(e,t,i){e=e||500,clearTimeout(this.timer),this.timer=this._delay(function(){this._repeat(40,t,i)},e),this._spin(t*this.options.step,i)},_spin:function(e,t){var i=this.value()||0;this.counter||(this.counter=1),i=this._adjustValue(i+e*this._increment(this.counter)),this.spinning&&this._trigger("spin",t,{value:i})===!1||(this._value(i),this.counter++)},_increment:function(t){var i=this.options.incremental;return i?e.isFunction(i)?i(t):Math.floor(t*t*t/5e4-t*t/500+17*t/200+1):1},_precision:function(){var e=this._precisionOf(this.options.step);return null!==this.options.min&&(e=Math.max(e,this._precisionOf(this.options.min))),e},_precisionOf:function(e){var t=""+e,i=t.indexOf(".");return-1===i?0:t.length-i-1},_adjustValue:function(e){var t,i,s=this.options;return t=null!==s.min?s.min:0,i=e-t,i=Math.round(i/s.step)*s.step,e=t+i,e=parseFloat(e.toFixed(this._precision())),null!==s.max&&e>s.max?s.max:null!==s.min&&s.min>e?s.min:e},_stop:function(e){this.spinning&&(clearTimeout(this.timer),clearTimeout(this.mousewheelTimer),this.counter=0,this.spinning=!1,this._trigger("stop",e))},_setOption:function(e,t){if("culture"===e||"numberFormat"===e){var i=this._parse(this.element.val());return this.options[e]=t,this.element.val(this._format(i)),void 0}("max"===e||"min"===e||"step"===e)&&"string"==typeof t&&(t=this._parse(t)),"icons"===e&&(this.buttons.first().find(".ui-icon").removeClass(this.options.icons.up).addClass(t.up),this.buttons.last().find(".ui-icon").removeClass(this.options.icons.down).addClass(t.down)),this._super(e,t),"disabled"===e&&(this.widget().toggleClass("ui-state-disabled",!!t),this.element.prop("disabled",!!t),this.buttons.button(t?"disable":"enable"))},_setOptions:s(function(e){this._super(e)}),_parse:function(e){return"string"==typeof e&&""!==e&&(e=window.Globalize&&this.options.numberFormat?Globalize.parseFloat(e,10,this.options.culture):+e),""===e||isNaN(e)?null:e
},_format:function(e){return""===e?"":window.Globalize&&this.options.numberFormat?Globalize.format(e,this.options.numberFormat,this.options.culture):e},_refresh:function(){this.element.attr({"aria-valuemin":this.options.min,"aria-valuemax":this.options.max,"aria-valuenow":this._parse(this.element.val())})},isValid:function(){var e=this.value();return null===e?!1:e===this._adjustValue(e)},_value:function(e,t){var i;""!==e&&(i=this._parse(e),null!==i&&(t||(i=this._adjustValue(i)),e=this._format(i))),this.element.val(e),this._refresh()},_destroy:function(){this.element.removeClass("ui-spinner-input").prop("disabled",!1).removeAttr("autocomplete").removeAttr("role").removeAttr("aria-valuemin").removeAttr("aria-valuemax").removeAttr("aria-valuenow"),this.uiSpinner.replaceWith(this.element)},stepUp:s(function(e){this._stepUp(e)}),_stepUp:function(e){this._start()&&(this._spin((e||1)*this.options.step),this._stop())},stepDown:s(function(e){this._stepDown(e)}),_stepDown:function(e){this._start()&&(this._spin((e||1)*-this.options.step),this._stop())},pageUp:s(function(e){this._stepUp((e||1)*this.options.page)}),pageDown:s(function(e){this._stepDown((e||1)*this.options.page)}),value:function(e){return arguments.length?(s(this._value).call(this,e),void 0):this._parse(this.element.val())},widget:function(){return this.uiSpinner}}),e.widget("ui.tabs",{version:"1.11.4",delay:300,options:{active:null,collapsible:!1,event:"click",heightStyle:"content",hide:null,show:null,activate:null,beforeActivate:null,beforeLoad:null,load:null},_isLocal:function(){var e=/#.*$/;return function(t){var i,s;t=t.cloneNode(!1),i=t.href.replace(e,""),s=location.href.replace(e,"");try{i=decodeURIComponent(i)}catch(n){}try{s=decodeURIComponent(s)}catch(n){}return t.hash.length>1&&i===s}}(),_create:function(){var t=this,i=this.options;this.running=!1,this.element.addClass("ui-tabs ui-widget ui-widget-content ui-corner-all").toggleClass("ui-tabs-collapsible",i.collapsible),this._processTabs(),i.active=this._initialActive(),e.isArray(i.disabled)&&(i.disabled=e.unique(i.disabled.concat(e.map(this.tabs.filter(".ui-state-disabled"),function(e){return t.tabs.index(e)}))).sort()),this.active=this.options.active!==!1&&this.anchors.length?this._findActive(i.active):e(),this._refresh(),this.active.length&&this.load(i.active)},_initialActive:function(){var t=this.options.active,i=this.options.collapsible,s=location.hash.substring(1);return null===t&&(s&&this.tabs.each(function(i,n){return e(n).attr("aria-controls")===s?(t=i,!1):void 0}),null===t&&(t=this.tabs.index(this.tabs.filter(".ui-tabs-active"))),(null===t||-1===t)&&(t=this.tabs.length?0:!1)),t!==!1&&(t=this.tabs.index(this.tabs.eq(t)),-1===t&&(t=i?!1:0)),!i&&t===!1&&this.anchors.length&&(t=0),t},_getCreateEventData:function(){return{tab:this.active,panel:this.active.length?this._getPanelForTab(this.active):e()}},_tabKeydown:function(t){var i=e(this.document[0].activeElement).closest("li"),s=this.tabs.index(i),n=!0;if(!this._handlePageNav(t)){switch(t.keyCode){case e.ui.keyCode.RIGHT:case e.ui.keyCode.DOWN:s++;break;case e.ui.keyCode.UP:case e.ui.keyCode.LEFT:n=!1,s--;break;case e.ui.keyCode.END:s=this.anchors.length-1;break;case e.ui.keyCode.HOME:s=0;break;case e.ui.keyCode.SPACE:return t.preventDefault(),clearTimeout(this.activating),this._activate(s),void 0;case e.ui.keyCode.ENTER:return t.preventDefault(),clearTimeout(this.activating),this._activate(s===this.options.active?!1:s),void 0;default:return}t.preventDefault(),clearTimeout(this.activating),s=this._focusNextTab(s,n),t.ctrlKey||t.metaKey||(i.attr("aria-selected","false"),this.tabs.eq(s).attr("aria-selected","true"),this.activating=this._delay(function(){this.option("active",s)},this.delay))}},_panelKeydown:function(t){this._handlePageNav(t)||t.ctrlKey&&t.keyCode===e.ui.keyCode.UP&&(t.preventDefault(),this.active.focus())},_handlePageNav:function(t){return t.altKey&&t.keyCode===e.ui.keyCode.PAGE_UP?(this._activate(this._focusNextTab(this.options.active-1,!1)),!0):t.altKey&&t.keyCode===e.ui.keyCode.PAGE_DOWN?(this._activate(this._focusNextTab(this.options.active+1,!0)),!0):void 0},_findNextTab:function(t,i){function s(){return t>n&&(t=0),0>t&&(t=n),t}for(var n=this.tabs.length-1;-1!==e.inArray(s(),this.options.disabled);)t=i?t+1:t-1;return t},_focusNextTab:function(e,t){return e=this._findNextTab(e,t),this.tabs.eq(e).focus(),e},_setOption:function(e,t){return"active"===e?(this._activate(t),void 0):"disabled"===e?(this._setupDisabled(t),void 0):(this._super(e,t),"collapsible"===e&&(this.element.toggleClass("ui-tabs-collapsible",t),t||this.options.active!==!1||this._activate(0)),"event"===e&&this._setupEvents(t),"heightStyle"===e&&this._setupHeightStyle(t),void 0)},_sanitizeSelector:function(e){return e?e.replace(/[!"$%&'()*+,.\/:;<=>?@\[\]\^`{|}~]/g,"\\$&"):""},refresh:function(){var t=this.options,i=this.tablist.children(":has(a[href])");t.disabled=e.map(i.filter(".ui-state-disabled"),function(e){return i.index(e)}),this._processTabs(),t.active!==!1&&this.anchors.length?this.active.length&&!e.contains(this.tablist[0],this.active[0])?this.tabs.length===t.disabled.length?(t.active=!1,this.active=e()):this._activate(this._findNextTab(Math.max(0,t.active-1),!1)):t.active=this.tabs.index(this.active):(t.active=!1,this.active=e()),this._refresh()},_refresh:function(){this._setupDisabled(this.options.disabled),this._setupEvents(this.options.event),this._setupHeightStyle(this.options.heightStyle),this.tabs.not(this.active).attr({"aria-selected":"false","aria-expanded":"false",tabIndex:-1}),this.panels.not(this._getPanelForTab(this.active)).hide().attr({"aria-hidden":"true"}),this.active.length?(this.active.addClass("ui-tabs-active ui-state-active").attr({"aria-selected":"true","aria-expanded":"true",tabIndex:0}),this._getPanelForTab(this.active).show().attr({"aria-hidden":"false"})):this.tabs.eq(0).attr("tabIndex",0)},_processTabs:function(){var t=this,i=this.tabs,s=this.anchors,n=this.panels;this.tablist=this._getList().addClass("ui-tabs-nav ui-helper-reset ui-helper-clearfix ui-widget-header ui-corner-all").attr("role","tablist").delegate("> li","mousedown"+this.eventNamespace,function(t){e(this).is(".ui-state-disabled")&&t.preventDefault()}).delegate(".ui-tabs-anchor","focus"+this.eventNamespace,function(){e(this).closest("li").is(".ui-state-disabled")&&this.blur()}),this.tabs=this.tablist.find("> li:has(a[href])").addClass("ui-state-default ui-corner-top").attr({role:"tab",tabIndex:-1}),this.anchors=this.tabs.map(function(){return e("a",this)[0]}).addClass("ui-tabs-anchor").attr({role:"presentation",tabIndex:-1}),this.panels=e(),this.anchors.each(function(i,s){var n,a,o,r=e(s).uniqueId().attr("id"),h=e(s).closest("li"),l=h.attr("aria-controls");t._isLocal(s)?(n=s.hash,o=n.substring(1),a=t.element.find(t._sanitizeSelector(n))):(o=h.attr("aria-controls")||e({}).uniqueId()[0].id,n="#"+o,a=t.element.find(n),a.length||(a=t._createPanel(o),a.insertAfter(t.panels[i-1]||t.tablist)),a.attr("aria-live","polite")),a.length&&(t.panels=t.panels.add(a)),l&&h.data("ui-tabs-aria-controls",l),h.attr({"aria-controls":o,"aria-labelledby":r}),a.attr("aria-labelledby",r)}),this.panels.addClass("ui-tabs-panel ui-widget-content ui-corner-bottom").attr("role","tabpanel"),i&&(this._off(i.not(this.tabs)),this._off(s.not(this.anchors)),this._off(n.not(this.panels)))},_getList:function(){return this.tablist||this.element.find("ol,ul").eq(0)},_createPanel:function(t){return e("<div>").attr("id",t).addClass("ui-tabs-panel ui-widget-content ui-corner-bottom").data("ui-tabs-destroy",!0)},_setupDisabled:function(t){e.isArray(t)&&(t.length?t.length===this.anchors.length&&(t=!0):t=!1);for(var i,s=0;i=this.tabs[s];s++)t===!0||-1!==e.inArray(s,t)?e(i).addClass("ui-state-disabled").attr("aria-disabled","true"):e(i).removeClass("ui-state-disabled").removeAttr("aria-disabled");this.options.disabled=t},_setupEvents:function(t){var i={};t&&e.each(t.split(" "),function(e,t){i[t]="_eventHandler"}),this._off(this.anchors.add(this.tabs).add(this.panels)),this._on(!0,this.anchors,{click:function(e){e.preventDefault()}}),this._on(this.anchors,i),this._on(this.tabs,{keydown:"_tabKeydown"}),this._on(this.panels,{keydown:"_panelKeydown"}),this._focusable(this.tabs),this._hoverable(this.tabs)},_setupHeightStyle:function(t){var i,s=this.element.parent();"fill"===t?(i=s.height(),i-=this.element.outerHeight()-this.element.height(),this.element.siblings(":visible").each(function(){var t=e(this),s=t.css("position");"absolute"!==s&&"fixed"!==s&&(i-=t.outerHeight(!0))}),this.element.children().not(this.panels).each(function(){i-=e(this).outerHeight(!0)}),this.panels.each(function(){e(this).height(Math.max(0,i-e(this).innerHeight()+e(this).height()))}).css("overflow","auto")):"auto"===t&&(i=0,this.panels.each(function(){i=Math.max(i,e(this).height("").height())}).height(i))},_eventHandler:function(t){var i=this.options,s=this.active,n=e(t.currentTarget),a=n.closest("li"),o=a[0]===s[0],r=o&&i.collapsible,h=r?e():this._getPanelForTab(a),l=s.length?this._getPanelForTab(s):e(),u={oldTab:s,oldPanel:l,newTab:r?e():a,newPanel:h};t.preventDefault(),a.hasClass("ui-state-disabled")||a.hasClass("ui-tabs-loading")||this.running||o&&!i.collapsible||this._trigger("beforeActivate",t,u)===!1||(i.active=r?!1:this.tabs.index(a),this.active=o?e():a,this.xhr&&this.xhr.abort(),l.length||h.length||e.error("jQuery UI Tabs: Mismatching fragment identifier."),h.length&&this.load(this.tabs.index(a),t),this._toggle(t,u))},_toggle:function(t,i){function s(){a.running=!1,a._trigger("activate",t,i)}function n(){i.newTab.closest("li").addClass("ui-tabs-active ui-state-active"),o.length&&a.options.show?a._show(o,a.options.show,s):(o.show(),s())}var a=this,o=i.newPanel,r=i.oldPanel;this.running=!0,r.length&&this.options.hide?this._hide(r,this.options.hide,function(){i.oldTab.closest("li").removeClass("ui-tabs-active ui-state-active"),n()}):(i.oldTab.closest("li").removeClass("ui-tabs-active ui-state-active"),r.hide(),n()),r.attr("aria-hidden","true"),i.oldTab.attr({"aria-selected":"false","aria-expanded":"false"}),o.length&&r.length?i.oldTab.attr("tabIndex",-1):o.length&&this.tabs.filter(function(){return 0===e(this).attr("tabIndex")}).attr("tabIndex",-1),o.attr("aria-hidden","false"),i.newTab.attr({"aria-selected":"true","aria-expanded":"true",tabIndex:0})},_activate:function(t){var i,s=this._findActive(t);s[0]!==this.active[0]&&(s.length||(s=this.active),i=s.find(".ui-tabs-anchor")[0],this._eventHandler({target:i,currentTarget:i,preventDefault:e.noop}))},_findActive:function(t){return t===!1?e():this.tabs.eq(t)},_getIndex:function(e){return"string"==typeof e&&(e=this.anchors.index(this.anchors.filter("[href$='"+e+"']"))),e},_destroy:function(){this.xhr&&this.xhr.abort(),this.element.removeClass("ui-tabs ui-widget ui-widget-content ui-corner-all ui-tabs-collapsible"),this.tablist.removeClass("ui-tabs-nav ui-helper-reset ui-helper-clearfix ui-widget-header ui-corner-all").removeAttr("role"),this.anchors.removeClass("ui-tabs-anchor").removeAttr("role").removeAttr("tabIndex").removeUniqueId(),this.tablist.unbind(this.eventNamespace),this.tabs.add(this.panels).each(function(){e.data(this,"ui-tabs-destroy")?e(this).remove():e(this).removeClass("ui-state-default ui-state-active ui-state-disabled ui-corner-top ui-corner-bottom ui-widget-content ui-tabs-active ui-tabs-panel").removeAttr("tabIndex").removeAttr("aria-live").removeAttr("aria-busy").removeAttr("aria-selected").removeAttr("aria-labelledby").removeAttr("aria-hidden").removeAttr("aria-expanded").removeAttr("role")}),this.tabs.each(function(){var t=e(this),i=t.data("ui-tabs-aria-controls");i?t.attr("aria-controls",i).removeData("ui-tabs-aria-controls"):t.removeAttr("aria-controls")}),this.panels.show(),"content"!==this.options.heightStyle&&this.panels.css("height","")},enable:function(t){var i=this.options.disabled;i!==!1&&(void 0===t?i=!1:(t=this._getIndex(t),i=e.isArray(i)?e.map(i,function(e){return e!==t?e:null}):e.map(this.tabs,function(e,i){return i!==t?i:null})),this._setupDisabled(i))},disable:function(t){var i=this.options.disabled;if(i!==!0){if(void 0===t)i=!0;else{if(t=this._getIndex(t),-1!==e.inArray(t,i))return;i=e.isArray(i)?e.merge([t],i).sort():[t]}this._setupDisabled(i)}},load:function(t,i){t=this._getIndex(t);var s=this,n=this.tabs.eq(t),a=n.find(".ui-tabs-anchor"),o=this._getPanelForTab(n),r={tab:n,panel:o},h=function(e,t){"abort"===t&&s.panels.stop(!1,!0),n.removeClass("ui-tabs-loading"),o.removeAttr("aria-busy"),e===s.xhr&&delete s.xhr};this._isLocal(a[0])||(this.xhr=e.ajax(this._ajaxSettings(a,i,r)),this.xhr&&"canceled"!==this.xhr.statusText&&(n.addClass("ui-tabs-loading"),o.attr("aria-busy","true"),this.xhr.done(function(e,t,n){setTimeout(function(){o.html(e),s._trigger("load",i,r),h(n,t)},1)}).fail(function(e,t){setTimeout(function(){h(e,t)},1)})))},_ajaxSettings:function(t,i,s){var n=this;return{url:t.attr("href"),beforeSend:function(t,a){return n._trigger("beforeLoad",i,e.extend({jqXHR:t,ajaxSettings:a},s))}}},_getPanelForTab:function(t){var i=e(t).attr("aria-controls");return this.element.find(this._sanitizeSelector("#"+i))}}),e.widget("ui.tooltip",{version:"1.11.4",options:{content:function(){var t=e(this).attr("title")||"";return e("<a>").text(t).html()},hide:!0,items:"[title]:not([disabled])",position:{my:"left top+15",at:"left bottom",collision:"flipfit flip"},show:!0,tooltipClass:null,track:!1,close:null,open:null},_addDescribedBy:function(t,i){var s=(t.attr("aria-describedby")||"").split(/\s+/);s.push(i),t.data("ui-tooltip-id",i).attr("aria-describedby",e.trim(s.join(" ")))},_removeDescribedBy:function(t){var i=t.data("ui-tooltip-id"),s=(t.attr("aria-describedby")||"").split(/\s+/),n=e.inArray(i,s);-1!==n&&s.splice(n,1),t.removeData("ui-tooltip-id"),s=e.trim(s.join(" ")),s?t.attr("aria-describedby",s):t.removeAttr("aria-describedby")},_create:function(){this._on({mouseover:"open",focusin:"open"}),this.tooltips={},this.parents={},this.options.disabled&&this._disable(),this.liveRegion=e("<div>").attr({role:"log","aria-live":"assertive","aria-relevant":"additions"}).addClass("ui-helper-hidden-accessible").appendTo(this.document[0].body)},_setOption:function(t,i){var s=this;return"disabled"===t?(this[i?"_disable":"_enable"](),this.options[t]=i,void 0):(this._super(t,i),"content"===t&&e.each(this.tooltips,function(e,t){s._updateContent(t.element)}),void 0)},_disable:function(){var t=this;e.each(this.tooltips,function(i,s){var n=e.Event("blur");n.target=n.currentTarget=s.element[0],t.close(n,!0)}),this.element.find(this.options.items).addBack().each(function(){var t=e(this);t.is("[title]")&&t.data("ui-tooltip-title",t.attr("title")).removeAttr("title")})},_enable:function(){this.element.find(this.options.items).addBack().each(function(){var t=e(this);t.data("ui-tooltip-title")&&t.attr("title",t.data("ui-tooltip-title"))})},open:function(t){var i=this,s=e(t?t.target:this.element).closest(this.options.items);s.length&&!s.data("ui-tooltip-id")&&(s.attr("title")&&s.data("ui-tooltip-title",s.attr("title")),s.data("ui-tooltip-open",!0),t&&"mouseover"===t.type&&s.parents().each(function(){var t,s=e(this);s.data("ui-tooltip-open")&&(t=e.Event("blur"),t.target=t.currentTarget=this,i.close(t,!0)),s.attr("title")&&(s.uniqueId(),i.parents[this.id]={element:this,title:s.attr("title")},s.attr("title",""))}),this._registerCloseHandlers(t,s),this._updateContent(s,t))},_updateContent:function(e,t){var i,s=this.options.content,n=this,a=t?t.type:null;return"string"==typeof s?this._open(t,e,s):(i=s.call(e[0],function(i){n._delay(function(){e.data("ui-tooltip-open")&&(t&&(t.type=a),this._open(t,e,i))})}),i&&this._open(t,e,i),void 0)},_open:function(t,i,s){function n(e){l.of=e,o.is(":hidden")||o.position(l)}var a,o,r,h,l=e.extend({},this.options.position);if(s){if(a=this._find(i))return a.tooltip.find(".ui-tooltip-content").html(s),void 0;i.is("[title]")&&(t&&"mouseover"===t.type?i.attr("title",""):i.removeAttr("title")),a=this._tooltip(i),o=a.tooltip,this._addDescribedBy(i,o.attr("id")),o.find(".ui-tooltip-content").html(s),this.liveRegion.children().hide(),s.clone?(h=s.clone(),h.removeAttr("id").find("[id]").removeAttr("id")):h=s,e("<div>").html(h).appendTo(this.liveRegion),this.options.track&&t&&/^mouse/.test(t.type)?(this._on(this.document,{mousemove:n}),n(t)):o.position(e.extend({of:i},this.options.position)),o.hide(),this._show(o,this.options.show),this.options.show&&this.options.show.delay&&(r=this.delayedShow=setInterval(function(){o.is(":visible")&&(n(l.of),clearInterval(r))},e.fx.interval)),this._trigger("open",t,{tooltip:o})}},_registerCloseHandlers:function(t,i){var s={keyup:function(t){if(t.keyCode===e.ui.keyCode.ESCAPE){var s=e.Event(t);s.currentTarget=i[0],this.close(s,!0)}}};i[0]!==this.element[0]&&(s.remove=function(){this._removeTooltip(this._find(i).tooltip)}),t&&"mouseover"!==t.type||(s.mouseleave="close"),t&&"focusin"!==t.type||(s.focusout="close"),this._on(!0,i,s)},close:function(t){var i,s=this,n=e(t?t.currentTarget:this.element),a=this._find(n);return a?(i=a.tooltip,a.closing||(clearInterval(this.delayedShow),n.data("ui-tooltip-title")&&!n.attr("title")&&n.attr("title",n.data("ui-tooltip-title")),this._removeDescribedBy(n),a.hiding=!0,i.stop(!0),this._hide(i,this.options.hide,function(){s._removeTooltip(e(this))}),n.removeData("ui-tooltip-open"),this._off(n,"mouseleave focusout keyup"),n[0]!==this.element[0]&&this._off(n,"remove"),this._off(this.document,"mousemove"),t&&"mouseleave"===t.type&&e.each(this.parents,function(t,i){e(i.element).attr("title",i.title),delete s.parents[t]}),a.closing=!0,this._trigger("close",t,{tooltip:i}),a.hiding||(a.closing=!1)),void 0):(n.removeData("ui-tooltip-open"),void 0)},_tooltip:function(t){var i=e("<div>").attr("role","tooltip").addClass("ui-tooltip ui-widget ui-corner-all ui-widget-content "+(this.options.tooltipClass||"")),s=i.uniqueId().attr("id");return e("<div>").addClass("ui-tooltip-content").appendTo(i),i.appendTo(this.document[0].body),this.tooltips[s]={element:t,tooltip:i}},_find:function(e){var t=e.data("ui-tooltip-id");return t?this.tooltips[t]:null},_removeTooltip:function(e){e.remove(),delete this.tooltips[e.attr("id")]},_destroy:function(){var t=this;e.each(this.tooltips,function(i,s){var n=e.Event("blur"),a=s.element;n.target=n.currentTarget=a[0],t.close(n,!0),e("#"+i).remove(),a.data("ui-tooltip-title")&&(a.attr("title")||a.attr("title",a.data("ui-tooltip-title")),a.removeData("ui-tooltip-title"))}),this.liveRegion.remove()}});var c="ui-effects-",p=e;e.effects={effect:{}},function(e,t){function i(e,t,i){var s=d[t.type]||{};return null==e?i||!t.def?null:t.def:(e=s.floor?~~e:parseFloat(e),isNaN(e)?t.def:s.mod?(e+s.mod)%s.mod:0>e?0:e>s.max?s.max:e)}function s(i){var s=l(),n=s._rgba=[];return i=i.toLowerCase(),f(h,function(e,a){var o,r=a.re.exec(i),h=r&&a.parse(r),l=a.space||"rgba";return h?(o=s[l](h),s[u[l].cache]=o[u[l].cache],n=s._rgba=o._rgba,!1):t}),n.length?("0,0,0,0"===n.join()&&e.extend(n,a.transparent),s):a[i]}function n(e,t,i){return i=(i+1)%1,1>6*i?e+6*(t-e)*i:1>2*i?t:2>3*i?e+6*(t-e)*(2/3-i):e}var a,o="backgroundColor borderBottomColor borderLeftColor borderRightColor borderTopColor color columnRuleColor outlineColor textDecorationColor textEmphasisColor",r=/^([\-+])=\s*(\d+\.?\d*)/,h=[{re:/rgba?\(\s*(\d{1,3})\s*,\s*(\d{1,3})\s*,\s*(\d{1,3})\s*(?:,\s*(\d?(?:\.\d+)?)\s*)?\)/,parse:function(e){return[e[1],e[2],e[3],e[4]]}},{re:/rgba?\(\s*(\d+(?:\.\d+)?)\%\s*,\s*(\d+(?:\.\d+)?)\%\s*,\s*(\d+(?:\.\d+)?)\%\s*(?:,\s*(\d?(?:\.\d+)?)\s*)?\)/,parse:function(e){return[2.55*e[1],2.55*e[2],2.55*e[3],e[4]]}},{re:/#([a-f0-9]{2})([a-f0-9]{2})([a-f0-9]{2})/,parse:function(e){return[parseInt(e[1],16),parseInt(e[2],16),parseInt(e[3],16)]}},{re:/#([a-f0-9])([a-f0-9])([a-f0-9])/,parse:function(e){return[parseInt(e[1]+e[1],16),parseInt(e[2]+e[2],16),parseInt(e[3]+e[3],16)]}},{re:/hsla?\(\s*(\d+(?:\.\d+)?)\s*,\s*(\d+(?:\.\d+)?)\%\s*,\s*(\d+(?:\.\d+)?)\%\s*(?:,\s*(\d?(?:\.\d+)?)\s*)?\)/,space:"hsla",parse:function(e){return[e[1],e[2]/100,e[3]/100,e[4]]}}],l=e.Color=function(t,i,s,n){return new e.Color.fn.parse(t,i,s,n)},u={rgba:{props:{red:{idx:0,type:"byte"},green:{idx:1,type:"byte"},blue:{idx:2,type:"byte"}}},hsla:{props:{hue:{idx:0,type:"degrees"},saturation:{idx:1,type:"percent"},lightness:{idx:2,type:"percent"}}}},d={"byte":{floor:!0,max:255},percent:{max:1},degrees:{mod:360,floor:!0}},c=l.support={},p=e("<p>")[0],f=e.each;p.style.cssText="background-color:rgba(1,1,1,.5)",c.rgba=p.style.backgroundColor.indexOf("rgba")>-1,f(u,function(e,t){t.cache="_"+e,t.props.alpha={idx:3,type:"percent",def:1}}),l.fn=e.extend(l.prototype,{parse:function(n,o,r,h){if(n===t)return this._rgba=[null,null,null,null],this;(n.jquery||n.nodeType)&&(n=e(n).css(o),o=t);var d=this,c=e.type(n),p=this._rgba=[];return o!==t&&(n=[n,o,r,h],c="array"),"string"===c?this.parse(s(n)||a._default):"array"===c?(f(u.rgba.props,function(e,t){p[t.idx]=i(n[t.idx],t)}),this):"object"===c?(n instanceof l?f(u,function(e,t){n[t.cache]&&(d[t.cache]=n[t.cache].slice())}):f(u,function(t,s){var a=s.cache;f(s.props,function(e,t){if(!d[a]&&s.to){if("alpha"===e||null==n[e])return;d[a]=s.to(d._rgba)}d[a][t.idx]=i(n[e],t,!0)}),d[a]&&0>e.inArray(null,d[a].slice(0,3))&&(d[a][3]=1,s.from&&(d._rgba=s.from(d[a])))}),this):t},is:function(e){var i=l(e),s=!0,n=this;return f(u,function(e,a){var o,r=i[a.cache];return r&&(o=n[a.cache]||a.to&&a.to(n._rgba)||[],f(a.props,function(e,i){return null!=r[i.idx]?s=r[i.idx]===o[i.idx]:t})),s}),s},_space:function(){var e=[],t=this;return f(u,function(i,s){t[s.cache]&&e.push(i)}),e.pop()},transition:function(e,t){var s=l(e),n=s._space(),a=u[n],o=0===this.alpha()?l("transparent"):this,r=o[a.cache]||a.to(o._rgba),h=r.slice();return s=s[a.cache],f(a.props,function(e,n){var a=n.idx,o=r[a],l=s[a],u=d[n.type]||{};null!==l&&(null===o?h[a]=l:(u.mod&&(l-o>u.mod/2?o+=u.mod:o-l>u.mod/2&&(o-=u.mod)),h[a]=i((l-o)*t+o,n)))}),this[n](h)},blend:function(t){if(1===this._rgba[3])return this;var i=this._rgba.slice(),s=i.pop(),n=l(t)._rgba;return l(e.map(i,function(e,t){return(1-s)*n[t]+s*e}))},toRgbaString:function(){var t="rgba(",i=e.map(this._rgba,function(e,t){return null==e?t>2?1:0:e});return 1===i[3]&&(i.pop(),t="rgb("),t+i.join()+")"},toHslaString:function(){var t="hsla(",i=e.map(this.hsla(),function(e,t){return null==e&&(e=t>2?1:0),t&&3>t&&(e=Math.round(100*e)+"%"),e});return 1===i[3]&&(i.pop(),t="hsl("),t+i.join()+")"},toHexString:function(t){var i=this._rgba.slice(),s=i.pop();return t&&i.push(~~(255*s)),"#"+e.map(i,function(e){return e=(e||0).toString(16),1===e.length?"0"+e:e}).join("")},toString:function(){return 0===this._rgba[3]?"transparent":this.toRgbaString()}}),l.fn.parse.prototype=l.fn,u.hsla.to=function(e){if(null==e[0]||null==e[1]||null==e[2])return[null,null,null,e[3]];var t,i,s=e[0]/255,n=e[1]/255,a=e[2]/255,o=e[3],r=Math.max(s,n,a),h=Math.min(s,n,a),l=r-h,u=r+h,d=.5*u;return t=h===r?0:s===r?60*(n-a)/l+360:n===r?60*(a-s)/l+120:60*(s-n)/l+240,i=0===l?0:.5>=d?l/u:l/(2-u),[Math.round(t)%360,i,d,null==o?1:o]},u.hsla.from=function(e){if(null==e[0]||null==e[1]||null==e[2])return[null,null,null,e[3]];var t=e[0]/360,i=e[1],s=e[2],a=e[3],o=.5>=s?s*(1+i):s+i-s*i,r=2*s-o;return[Math.round(255*n(r,o,t+1/3)),Math.round(255*n(r,o,t)),Math.round(255*n(r,o,t-1/3)),a]},f(u,function(s,n){var a=n.props,o=n.cache,h=n.to,u=n.from;l.fn[s]=function(s){if(h&&!this[o]&&(this[o]=h(this._rgba)),s===t)return this[o].slice();var n,r=e.type(s),d="array"===r||"object"===r?s:arguments,c=this[o].slice();return f(a,function(e,t){var s=d["object"===r?e:t.idx];null==s&&(s=c[t.idx]),c[t.idx]=i(s,t)}),u?(n=l(u(c)),n[o]=c,n):l(c)},f(a,function(t,i){l.fn[t]||(l.fn[t]=function(n){var a,o=e.type(n),h="alpha"===t?this._hsla?"hsla":"rgba":s,l=this[h](),u=l[i.idx];return"undefined"===o?u:("function"===o&&(n=n.call(this,u),o=e.type(n)),null==n&&i.empty?this:("string"===o&&(a=r.exec(n),a&&(n=u+parseFloat(a[2])*("+"===a[1]?1:-1))),l[i.idx]=n,this[h](l)))})})}),l.hook=function(t){var i=t.split(" ");f(i,function(t,i){e.cssHooks[i]={set:function(t,n){var a,o,r="";if("transparent"!==n&&("string"!==e.type(n)||(a=s(n)))){if(n=l(a||n),!c.rgba&&1!==n._rgba[3]){for(o="backgroundColor"===i?t.parentNode:t;(""===r||"transparent"===r)&&o&&o.style;)try{r=e.css(o,"backgroundColor"),o=o.parentNode}catch(h){}n=n.blend(r&&"transparent"!==r?r:"_default")}n=n.toRgbaString()}try{t.style[i]=n}catch(h){}}},e.fx.step[i]=function(t){t.colorInit||(t.start=l(t.elem,i),t.end=l(t.end),t.colorInit=!0),e.cssHooks[i].set(t.elem,t.start.transition(t.end,t.pos))}})},l.hook(o),e.cssHooks.borderColor={expand:function(e){var t={};return f(["Top","Right","Bottom","Left"],function(i,s){t["border"+s+"Color"]=e}),t}},a=e.Color.names={aqua:"#00ffff",black:"#000000",blue:"#0000ff",fuchsia:"#ff00ff",gray:"#808080",green:"#008000",lime:"#00ff00",maroon:"#800000",navy:"#000080",olive:"#808000",purple:"#800080",red:"#ff0000",silver:"#c0c0c0",teal:"#008080",white:"#ffffff",yellow:"#ffff00",transparent:[null,null,null,0],_default:"#ffffff"}}(p),function(){function t(t){var i,s,n=t.ownerDocument.defaultView?t.ownerDocument.defaultView.getComputedStyle(t,null):t.currentStyle,a={};if(n&&n.length&&n[0]&&n[n[0]])for(s=n.length;s--;)i=n[s],"string"==typeof n[i]&&(a[e.camelCase(i)]=n[i]);else for(i in n)"string"==typeof n[i]&&(a[i]=n[i]);return a}function i(t,i){var s,a,o={};for(s in i)a=i[s],t[s]!==a&&(n[s]||(e.fx.step[s]||!isNaN(parseFloat(a)))&&(o[s]=a));return o}var s=["add","remove","toggle"],n={border:1,borderBottom:1,borderColor:1,borderLeft:1,borderRight:1,borderTop:1,borderWidth:1,margin:1,padding:1};e.each(["borderLeftStyle","borderRightStyle","borderBottomStyle","borderTopStyle"],function(t,i){e.fx.step[i]=function(e){("none"!==e.end&&!e.setAttr||1===e.pos&&!e.setAttr)&&(p.style(e.elem,i,e.end),e.setAttr=!0)}}),e.fn.addBack||(e.fn.addBack=function(e){return this.add(null==e?this.prevObject:this.prevObject.filter(e))}),e.effects.animateClass=function(n,a,o,r){var h=e.speed(a,o,r);return this.queue(function(){var a,o=e(this),r=o.attr("class")||"",l=h.children?o.find("*").addBack():o;l=l.map(function(){var i=e(this);return{el:i,start:t(this)}}),a=function(){e.each(s,function(e,t){n[t]&&o[t+"Class"](n[t])})},a(),l=l.map(function(){return this.end=t(this.el[0]),this.diff=i(this.start,this.end),this}),o.attr("class",r),l=l.map(function(){var t=this,i=e.Deferred(),s=e.extend({},h,{queue:!1,complete:function(){i.resolve(t)}});return this.el.animate(this.diff,s),i.promise()}),e.when.apply(e,l.get()).done(function(){a(),e.each(arguments,function(){var t=this.el;e.each(this.diff,function(e){t.css(e,"")})}),h.complete.call(o[0])})})},e.fn.extend({addClass:function(t){return function(i,s,n,a){return s?e.effects.animateClass.call(this,{add:i},s,n,a):t.apply(this,arguments)}}(e.fn.addClass),removeClass:function(t){return function(i,s,n,a){return arguments.length>1?e.effects.animateClass.call(this,{remove:i},s,n,a):t.apply(this,arguments)}}(e.fn.removeClass),toggleClass:function(t){return function(i,s,n,a,o){return"boolean"==typeof s||void 0===s?n?e.effects.animateClass.call(this,s?{add:i}:{remove:i},n,a,o):t.apply(this,arguments):e.effects.animateClass.call(this,{toggle:i},s,n,a)}}(e.fn.toggleClass),switchClass:function(t,i,s,n,a){return e.effects.animateClass.call(this,{add:i,remove:t},s,n,a)}})}(),function(){function t(t,i,s,n){return e.isPlainObject(t)&&(i=t,t=t.effect),t={effect:t},null==i&&(i={}),e.isFunction(i)&&(n=i,s=null,i={}),("number"==typeof i||e.fx.speeds[i])&&(n=s,s=i,i={}),e.isFunction(s)&&(n=s,s=null),i&&e.extend(t,i),s=s||i.duration,t.duration=e.fx.off?0:"number"==typeof s?s:s in e.fx.speeds?e.fx.speeds[s]:e.fx.speeds._default,t.complete=n||i.complete,t}function i(t){return!t||"number"==typeof t||e.fx.speeds[t]?!0:"string"!=typeof t||e.effects.effect[t]?e.isFunction(t)?!0:"object"!=typeof t||t.effect?!1:!0:!0}e.extend(e.effects,{version:"1.11.4",save:function(e,t){for(var i=0;t.length>i;i++)null!==t[i]&&e.data(c+t[i],e[0].style[t[i]])},restore:function(e,t){var i,s;for(s=0;t.length>s;s++)null!==t[s]&&(i=e.data(c+t[s]),void 0===i&&(i=""),e.css(t[s],i))},setMode:function(e,t){return"toggle"===t&&(t=e.is(":hidden")?"show":"hide"),t},getBaseline:function(e,t){var i,s;switch(e[0]){case"top":i=0;break;case"middle":i=.5;break;case"bottom":i=1;break;default:i=e[0]/t.height}switch(e[1]){case"left":s=0;break;case"center":s=.5;break;case"right":s=1;break;default:s=e[1]/t.width}return{x:s,y:i}},createWrapper:function(t){if(t.parent().is(".ui-effects-wrapper"))return t.parent();var i={width:t.outerWidth(!0),height:t.outerHeight(!0),"float":t.css("float")},s=e("<div></div>").addClass("ui-effects-wrapper").css({fontSize:"100%",background:"transparent",border:"none",margin:0,padding:0}),n={width:t.width(),height:t.height()},a=document.activeElement;try{a.id}catch(o){a=document.body}return t.wrap(s),(t[0]===a||e.contains(t[0],a))&&e(a).focus(),s=t.parent(),"static"===t.css("position")?(s.css({position:"relative"}),t.css({position:"relative"})):(e.extend(i,{position:t.css("position"),zIndex:t.css("z-index")}),e.each(["top","left","bottom","right"],function(e,s){i[s]=t.css(s),isNaN(parseInt(i[s],10))&&(i[s]="auto")}),t.css({position:"relative",top:0,left:0,right:"auto",bottom:"auto"})),t.css(n),s.css(i).show()},removeWrapper:function(t){var i=document.activeElement;return t.parent().is(".ui-effects-wrapper")&&(t.parent().replaceWith(t),(t[0]===i||e.contains(t[0],i))&&e(i).focus()),t},setTransition:function(t,i,s,n){return n=n||{},e.each(i,function(e,i){var a=t.cssUnit(i);a[0]>0&&(n[i]=a[0]*s+a[1])}),n}}),e.fn.extend({effect:function(){function i(t){function i(){e.isFunction(a)&&a.call(n[0]),e.isFunction(t)&&t()}var n=e(this),a=s.complete,r=s.mode;(n.is(":hidden")?"hide"===r:"show"===r)?(n[r](),i()):o.call(n[0],s,i)}var s=t.apply(this,arguments),n=s.mode,a=s.queue,o=e.effects.effect[s.effect];return e.fx.off||!o?n?this[n](s.duration,s.complete):this.each(function(){s.complete&&s.complete.call(this)}):a===!1?this.each(i):this.queue(a||"fx",i)},show:function(e){return function(s){if(i(s))return e.apply(this,arguments);var n=t.apply(this,arguments);return n.mode="show",this.effect.call(this,n)}}(e.fn.show),hide:function(e){return function(s){if(i(s))return e.apply(this,arguments);var n=t.apply(this,arguments);return n.mode="hide",this.effect.call(this,n)}}(e.fn.hide),toggle:function(e){return function(s){if(i(s)||"boolean"==typeof s)return e.apply(this,arguments);var n=t.apply(this,arguments);return n.mode="toggle",this.effect.call(this,n)}}(e.fn.toggle),cssUnit:function(t){var i=this.css(t),s=[];return e.each(["em","px","%","pt"],function(e,t){i.indexOf(t)>0&&(s=[parseFloat(i),t])}),s}})}(),function(){var t={};e.each(["Quad","Cubic","Quart","Quint","Expo"],function(e,i){t[i]=function(t){return Math.pow(t,e+2)}}),e.extend(t,{Sine:function(e){return 1-Math.cos(e*Math.PI/2)},Circ:function(e){return 1-Math.sqrt(1-e*e)},Elastic:function(e){return 0===e||1===e?e:-Math.pow(2,8*(e-1))*Math.sin((80*(e-1)-7.5)*Math.PI/15)},Back:function(e){return e*e*(3*e-2)},Bounce:function(e){for(var t,i=4;((t=Math.pow(2,--i))-1)/11>e;);return 1/Math.pow(4,3-i)-7.5625*Math.pow((3*t-2)/22-e,2)}}),e.each(t,function(t,i){e.easing["easeIn"+t]=i,e.easing["easeOut"+t]=function(e){return 1-i(1-e)},e.easing["easeInOut"+t]=function(e){return.5>e?i(2*e)/2:1-i(-2*e+2)/2}})}(),e.effects,e.effects.effect.blind=function(t,i){var s,n,a,o=e(this),r=/up|down|vertical/,h=/up|left|vertical|horizontal/,l=["position","top","bottom","left","right","height","width"],u=e.effects.setMode(o,t.mode||"hide"),d=t.direction||"up",c=r.test(d),p=c?"height":"width",f=c?"top":"left",m=h.test(d),g={},v="show"===u;o.parent().is(".ui-effects-wrapper")?e.effects.save(o.parent(),l):e.effects.save(o,l),o.show(),s=e.effects.createWrapper(o).css({overflow:"hidden"}),n=s[p](),a=parseFloat(s.css(f))||0,g[p]=v?n:0,m||(o.css(c?"bottom":"right",0).css(c?"top":"left","auto").css({position:"absolute"}),g[f]=v?a:n+a),v&&(s.css(p,0),m||s.css(f,a+n)),s.animate(g,{duration:t.duration,easing:t.easing,queue:!1,complete:function(){"hide"===u&&o.hide(),e.effects.restore(o,l),e.effects.removeWrapper(o),i()
}})},e.effects.effect.bounce=function(t,i){var s,n,a,o=e(this),r=["position","top","bottom","left","right","height","width"],h=e.effects.setMode(o,t.mode||"effect"),l="hide"===h,u="show"===h,d=t.direction||"up",c=t.distance,p=t.times||5,f=2*p+(u||l?1:0),m=t.duration/f,g=t.easing,v="up"===d||"down"===d?"top":"left",y="up"===d||"left"===d,b=o.queue(),_=b.length;for((u||l)&&r.push("opacity"),e.effects.save(o,r),o.show(),e.effects.createWrapper(o),c||(c=o["top"===v?"outerHeight":"outerWidth"]()/3),u&&(a={opacity:1},a[v]=0,o.css("opacity",0).css(v,y?2*-c:2*c).animate(a,m,g)),l&&(c/=Math.pow(2,p-1)),a={},a[v]=0,s=0;p>s;s++)n={},n[v]=(y?"-=":"+=")+c,o.animate(n,m,g).animate(a,m,g),c=l?2*c:c/2;l&&(n={opacity:0},n[v]=(y?"-=":"+=")+c,o.animate(n,m,g)),o.queue(function(){l&&o.hide(),e.effects.restore(o,r),e.effects.removeWrapper(o),i()}),_>1&&b.splice.apply(b,[1,0].concat(b.splice(_,f+1))),o.dequeue()},e.effects.effect.clip=function(t,i){var s,n,a,o=e(this),r=["position","top","bottom","left","right","height","width"],h=e.effects.setMode(o,t.mode||"hide"),l="show"===h,u=t.direction||"vertical",d="vertical"===u,c=d?"height":"width",p=d?"top":"left",f={};e.effects.save(o,r),o.show(),s=e.effects.createWrapper(o).css({overflow:"hidden"}),n="IMG"===o[0].tagName?s:o,a=n[c](),l&&(n.css(c,0),n.css(p,a/2)),f[c]=l?a:0,f[p]=l?0:a/2,n.animate(f,{queue:!1,duration:t.duration,easing:t.easing,complete:function(){l||o.hide(),e.effects.restore(o,r),e.effects.removeWrapper(o),i()}})},e.effects.effect.drop=function(t,i){var s,n=e(this),a=["position","top","bottom","left","right","opacity","height","width"],o=e.effects.setMode(n,t.mode||"hide"),r="show"===o,h=t.direction||"left",l="up"===h||"down"===h?"top":"left",u="up"===h||"left"===h?"pos":"neg",d={opacity:r?1:0};e.effects.save(n,a),n.show(),e.effects.createWrapper(n),s=t.distance||n["top"===l?"outerHeight":"outerWidth"](!0)/2,r&&n.css("opacity",0).css(l,"pos"===u?-s:s),d[l]=(r?"pos"===u?"+=":"-=":"pos"===u?"-=":"+=")+s,n.animate(d,{queue:!1,duration:t.duration,easing:t.easing,complete:function(){"hide"===o&&n.hide(),e.effects.restore(n,a),e.effects.removeWrapper(n),i()}})},e.effects.effect.explode=function(t,i){function s(){b.push(this),b.length===d*c&&n()}function n(){p.css({visibility:"visible"}),e(b).remove(),m||p.hide(),i()}var a,o,r,h,l,u,d=t.pieces?Math.round(Math.sqrt(t.pieces)):3,c=d,p=e(this),f=e.effects.setMode(p,t.mode||"hide"),m="show"===f,g=p.show().css("visibility","hidden").offset(),v=Math.ceil(p.outerWidth()/c),y=Math.ceil(p.outerHeight()/d),b=[];for(a=0;d>a;a++)for(h=g.top+a*y,u=a-(d-1)/2,o=0;c>o;o++)r=g.left+o*v,l=o-(c-1)/2,p.clone().appendTo("body").wrap("<div></div>").css({position:"absolute",visibility:"visible",left:-o*v,top:-a*y}).parent().addClass("ui-effects-explode").css({position:"absolute",overflow:"hidden",width:v,height:y,left:r+(m?l*v:0),top:h+(m?u*y:0),opacity:m?0:1}).animate({left:r+(m?0:l*v),top:h+(m?0:u*y),opacity:m?1:0},t.duration||500,t.easing,s)},e.effects.effect.fade=function(t,i){var s=e(this),n=e.effects.setMode(s,t.mode||"toggle");s.animate({opacity:n},{queue:!1,duration:t.duration,easing:t.easing,complete:i})},e.effects.effect.fold=function(t,i){var s,n,a=e(this),o=["position","top","bottom","left","right","height","width"],r=e.effects.setMode(a,t.mode||"hide"),h="show"===r,l="hide"===r,u=t.size||15,d=/([0-9]+)%/.exec(u),c=!!t.horizFirst,p=h!==c,f=p?["width","height"]:["height","width"],m=t.duration/2,g={},v={};e.effects.save(a,o),a.show(),s=e.effects.createWrapper(a).css({overflow:"hidden"}),n=p?[s.width(),s.height()]:[s.height(),s.width()],d&&(u=parseInt(d[1],10)/100*n[l?0:1]),h&&s.css(c?{height:0,width:u}:{height:u,width:0}),g[f[0]]=h?n[0]:u,v[f[1]]=h?n[1]:0,s.animate(g,m,t.easing).animate(v,m,t.easing,function(){l&&a.hide(),e.effects.restore(a,o),e.effects.removeWrapper(a),i()})},e.effects.effect.highlight=function(t,i){var s=e(this),n=["backgroundImage","backgroundColor","opacity"],a=e.effects.setMode(s,t.mode||"show"),o={backgroundColor:s.css("backgroundColor")};"hide"===a&&(o.opacity=0),e.effects.save(s,n),s.show().css({backgroundImage:"none",backgroundColor:t.color||"#ffff99"}).animate(o,{queue:!1,duration:t.duration,easing:t.easing,complete:function(){"hide"===a&&s.hide(),e.effects.restore(s,n),i()}})},e.effects.effect.size=function(t,i){var s,n,a,o=e(this),r=["position","top","bottom","left","right","width","height","overflow","opacity"],h=["position","top","bottom","left","right","overflow","opacity"],l=["width","height","overflow"],u=["fontSize"],d=["borderTopWidth","borderBottomWidth","paddingTop","paddingBottom"],c=["borderLeftWidth","borderRightWidth","paddingLeft","paddingRight"],p=e.effects.setMode(o,t.mode||"effect"),f=t.restore||"effect"!==p,m=t.scale||"both",g=t.origin||["middle","center"],v=o.css("position"),y=f?r:h,b={height:0,width:0,outerHeight:0,outerWidth:0};"show"===p&&o.show(),s={height:o.height(),width:o.width(),outerHeight:o.outerHeight(),outerWidth:o.outerWidth()},"toggle"===t.mode&&"show"===p?(o.from=t.to||b,o.to=t.from||s):(o.from=t.from||("show"===p?b:s),o.to=t.to||("hide"===p?b:s)),a={from:{y:o.from.height/s.height,x:o.from.width/s.width},to:{y:o.to.height/s.height,x:o.to.width/s.width}},("box"===m||"both"===m)&&(a.from.y!==a.to.y&&(y=y.concat(d),o.from=e.effects.setTransition(o,d,a.from.y,o.from),o.to=e.effects.setTransition(o,d,a.to.y,o.to)),a.from.x!==a.to.x&&(y=y.concat(c),o.from=e.effects.setTransition(o,c,a.from.x,o.from),o.to=e.effects.setTransition(o,c,a.to.x,o.to))),("content"===m||"both"===m)&&a.from.y!==a.to.y&&(y=y.concat(u).concat(l),o.from=e.effects.setTransition(o,u,a.from.y,o.from),o.to=e.effects.setTransition(o,u,a.to.y,o.to)),e.effects.save(o,y),o.show(),e.effects.createWrapper(o),o.css("overflow","hidden").css(o.from),g&&(n=e.effects.getBaseline(g,s),o.from.top=(s.outerHeight-o.outerHeight())*n.y,o.from.left=(s.outerWidth-o.outerWidth())*n.x,o.to.top=(s.outerHeight-o.to.outerHeight)*n.y,o.to.left=(s.outerWidth-o.to.outerWidth)*n.x),o.css(o.from),("content"===m||"both"===m)&&(d=d.concat(["marginTop","marginBottom"]).concat(u),c=c.concat(["marginLeft","marginRight"]),l=r.concat(d).concat(c),o.find("*[width]").each(function(){var i=e(this),s={height:i.height(),width:i.width(),outerHeight:i.outerHeight(),outerWidth:i.outerWidth()};f&&e.effects.save(i,l),i.from={height:s.height*a.from.y,width:s.width*a.from.x,outerHeight:s.outerHeight*a.from.y,outerWidth:s.outerWidth*a.from.x},i.to={height:s.height*a.to.y,width:s.width*a.to.x,outerHeight:s.height*a.to.y,outerWidth:s.width*a.to.x},a.from.y!==a.to.y&&(i.from=e.effects.setTransition(i,d,a.from.y,i.from),i.to=e.effects.setTransition(i,d,a.to.y,i.to)),a.from.x!==a.to.x&&(i.from=e.effects.setTransition(i,c,a.from.x,i.from),i.to=e.effects.setTransition(i,c,a.to.x,i.to)),i.css(i.from),i.animate(i.to,t.duration,t.easing,function(){f&&e.effects.restore(i,l)})})),o.animate(o.to,{queue:!1,duration:t.duration,easing:t.easing,complete:function(){0===o.to.opacity&&o.css("opacity",o.from.opacity),"hide"===p&&o.hide(),e.effects.restore(o,y),f||("static"===v?o.css({position:"relative",top:o.to.top,left:o.to.left}):e.each(["top","left"],function(e,t){o.css(t,function(t,i){var s=parseInt(i,10),n=e?o.to.left:o.to.top;return"auto"===i?n+"px":s+n+"px"})})),e.effects.removeWrapper(o),i()}})},e.effects.effect.scale=function(t,i){var s=e(this),n=e.extend(!0,{},t),a=e.effects.setMode(s,t.mode||"effect"),o=parseInt(t.percent,10)||(0===parseInt(t.percent,10)?0:"hide"===a?0:100),r=t.direction||"both",h=t.origin,l={height:s.height(),width:s.width(),outerHeight:s.outerHeight(),outerWidth:s.outerWidth()},u={y:"horizontal"!==r?o/100:1,x:"vertical"!==r?o/100:1};n.effect="size",n.queue=!1,n.complete=i,"effect"!==a&&(n.origin=h||["middle","center"],n.restore=!0),n.from=t.from||("show"===a?{height:0,width:0,outerHeight:0,outerWidth:0}:l),n.to={height:l.height*u.y,width:l.width*u.x,outerHeight:l.outerHeight*u.y,outerWidth:l.outerWidth*u.x},n.fade&&("show"===a&&(n.from.opacity=0,n.to.opacity=1),"hide"===a&&(n.from.opacity=1,n.to.opacity=0)),s.effect(n)},e.effects.effect.puff=function(t,i){var s=e(this),n=e.effects.setMode(s,t.mode||"hide"),a="hide"===n,o=parseInt(t.percent,10)||150,r=o/100,h={height:s.height(),width:s.width(),outerHeight:s.outerHeight(),outerWidth:s.outerWidth()};e.extend(t,{effect:"scale",queue:!1,fade:!0,mode:n,complete:i,percent:a?o:100,from:a?h:{height:h.height*r,width:h.width*r,outerHeight:h.outerHeight*r,outerWidth:h.outerWidth*r}}),s.effect(t)},e.effects.effect.pulsate=function(t,i){var s,n=e(this),a=e.effects.setMode(n,t.mode||"show"),o="show"===a,r="hide"===a,h=o||"hide"===a,l=2*(t.times||5)+(h?1:0),u=t.duration/l,d=0,c=n.queue(),p=c.length;for((o||!n.is(":visible"))&&(n.css("opacity",0).show(),d=1),s=1;l>s;s++)n.animate({opacity:d},u,t.easing),d=1-d;n.animate({opacity:d},u,t.easing),n.queue(function(){r&&n.hide(),i()}),p>1&&c.splice.apply(c,[1,0].concat(c.splice(p,l+1))),n.dequeue()},e.effects.effect.shake=function(t,i){var s,n=e(this),a=["position","top","bottom","left","right","height","width"],o=e.effects.setMode(n,t.mode||"effect"),r=t.direction||"left",h=t.distance||20,l=t.times||3,u=2*l+1,d=Math.round(t.duration/u),c="up"===r||"down"===r?"top":"left",p="up"===r||"left"===r,f={},m={},g={},v=n.queue(),y=v.length;for(e.effects.save(n,a),n.show(),e.effects.createWrapper(n),f[c]=(p?"-=":"+=")+h,m[c]=(p?"+=":"-=")+2*h,g[c]=(p?"-=":"+=")+2*h,n.animate(f,d,t.easing),s=1;l>s;s++)n.animate(m,d,t.easing).animate(g,d,t.easing);n.animate(m,d,t.easing).animate(f,d/2,t.easing).queue(function(){"hide"===o&&n.hide(),e.effects.restore(n,a),e.effects.removeWrapper(n),i()}),y>1&&v.splice.apply(v,[1,0].concat(v.splice(y,u+1))),n.dequeue()},e.effects.effect.slide=function(t,i){var s,n=e(this),a=["position","top","bottom","left","right","width","height"],o=e.effects.setMode(n,t.mode||"show"),r="show"===o,h=t.direction||"left",l="up"===h||"down"===h?"top":"left",u="up"===h||"left"===h,d={};e.effects.save(n,a),n.show(),s=t.distance||n["top"===l?"outerHeight":"outerWidth"](!0),e.effects.createWrapper(n).css({overflow:"hidden"}),r&&n.css(l,u?isNaN(s)?"-"+s:-s:s),d[l]=(r?u?"+=":"-=":u?"-=":"+=")+s,n.animate(d,{queue:!1,duration:t.duration,easing:t.easing,complete:function(){"hide"===o&&n.hide(),e.effects.restore(n,a),e.effects.removeWrapper(n),i()}})},e.effects.effect.transfer=function(t,i){var s=e(this),n=e(t.to),a="fixed"===n.css("position"),o=e("body"),r=a?o.scrollTop():0,h=a?o.scrollLeft():0,l=n.offset(),u={top:l.top-r,left:l.left-h,height:n.innerHeight(),width:n.innerWidth()},d=s.offset(),c=e("<div class='ui-effects-transfer'></div>").appendTo(document.body).addClass(t.className).css({top:d.top-r,left:d.left-h,height:s.innerHeight(),width:s.innerWidth(),position:a?"fixed":"absolute"}).animate(u,t.duration,t.easing,function(){c.remove(),i()})}});"></script>
<link href="data:text/css,%0A%0A%2Etocify%20%7B%0Awidth%3A%2020%25%3B%0Amax%2Dheight%3A%2090%25%3B%0Aoverflow%3A%20auto%3B%0Amargin%2Dleft%3A%202%25%3B%0Aposition%3A%20fixed%3B%0Aborder%3A%201px%20solid%20%23ccc%3B%0Aborder%2Dradius%3A%206px%3B%0A%7D%0A%0A%2Etocify%20ul%2C%20%2Etocify%20li%20%7B%0Alist%2Dstyle%3A%20none%3B%0Amargin%3A%200%3B%0Apadding%3A%200%3B%0Aborder%3A%20none%3B%0Aline%2Dheight%3A%2030px%3B%0A%7D%0A%0A%2Etocify%2Dheader%20%7B%0Atext%2Dindent%3A%2010px%3B%0A%7D%0A%0A%2Etocify%2Dsubheader%20%7B%0Atext%2Dindent%3A%2020px%3B%0Adisplay%3A%20none%3B%0A%7D%0A%0A%2Etocify%2Dsubheader%20li%20%7B%0Afont%2Dsize%3A%2012px%3B%0A%7D%0A%0A%2Etocify%2Dsubheader%20%2Etocify%2Dsubheader%20%7B%0Atext%2Dindent%3A%2030px%3B%0A%7D%0A%2Etocify%2Dsubheader%20%2Etocify%2Dsubheader%20%2Etocify%2Dsubheader%20%7B%0Atext%2Dindent%3A%2040px%3B%0A%7D%0A%2Etocify%2Dsubheader%20%2Etocify%2Dsubheader%20%2Etocify%2Dsubheader%20%2Etocify%2Dsubheader%20%7B%0Atext%2Dindent%3A%2050px%3B%0A%7D%0A%2Etocify%2Dsubheader%20%2Etocify%2Dsubheader%20%2Etocify%2Dsubheader%20%2Etocify%2Dsubheader%20%2Etocify%2Dsubheader%20%7B%0Atext%2Dindent%3A%2060px%3B%0A%7D%0A%0A%2Etocify%20%2Etocify%2Ditem%20%3E%20a%2C%20%2Etocify%20%2Enav%2Dlist%20%2Enav%2Dheader%20%7B%0Amargin%3A%200px%3B%0A%7D%0A%0A%2Etocify%20%2Etocify%2Ditem%20a%2C%20%2Etocify%20%2Elist%2Dgroup%2Ditem%20%7B%0Apadding%3A%205px%3B%0A%7D%0A%2Etocify%20%2Enav%2Dpills%20%3E%20li%20%7B%0Afloat%3A%20none%3B%0A%7D%0A%0A%0A" rel="stylesheet" />
<script src="data:application/javascript;base64,/* jquery Tocify - v1.9.1 - 2013-10-22
 * http://www.gregfranko.com/jquery.tocify.js/
 * Copyright (c) 2013 Greg Franko; Licensed MIT */

// Immediately-Invoked Function Expression (IIFE) [Ben Alman Blog Post](http://benalman.com/news/2010/11/immediately-invoked-function-expression/) that calls another IIFE that contains all of the plugin logic.  I used this pattern so that anyone viewing this code would not have to scroll to the bottom of the page to view the local parameters that were passed to the main IIFE.
(function(tocify) {

    // ECMAScript 5 Strict Mode: [John Resig Blog Post](http://ejohn.org/blog/ecmascript-5-strict-mode-json-and-more/)
    "use strict";

    // Calls the second IIFE and locally passes in the global jQuery, window, and document objects
    tocify(window.jQuery, window, document);

  }

  // Locally passes in `jQuery`, the `window` object, the `document` object, and an `undefined` variable.  The `jQuery`, `window` and `document` objects are passed in locally, to improve performance, since javascript first searches for a variable match within the local variables set before searching the global variables set.  All of the global variables are also passed in locally to be minifier friendly. `undefined` can be passed in locally, because it is not a reserved word in JavaScript.
  (function($, window, document, undefined) {

    // ECMAScript 5 Strict Mode: [John Resig Blog Post](http://ejohn.org/blog/ecmascript-5-strict-mode-json-and-more/)
    "use strict";

    var tocClassName = "tocify",
      tocClass = "." + tocClassName,
      tocFocusClassName = "tocify-focus",
      tocHoverClassName = "tocify-hover",
      hideTocClassName = "tocify-hide",
      hideTocClass = "." + hideTocClassName,
      headerClassName = "tocify-header",
      headerClass = "." + headerClassName,
      subheaderClassName = "tocify-subheader",
      subheaderClass = "." + subheaderClassName,
      itemClassName = "tocify-item",
      itemClass = "." + itemClassName,
      extendPageClassName = "tocify-extend-page",
      extendPageClass = "." + extendPageClassName;

    // Calling the jQueryUI Widget Factory Method
    $.widget("toc.tocify", {

      //Plugin version
      version: "1.9.1",

      // These options will be used as defaults
      options: {

        // **context**: Accepts String: Any jQuery selector
        // The container element that holds all of the elements used to generate the table of contents
        context: "body",

        // **ignoreSelector**: Accepts String: Any jQuery selector
        // A selector to any element that would be matched by selectors that you wish to be ignored
        ignoreSelector: null,

        // **selectors**: Accepts an Array of Strings: Any jQuery selectors
        // The element's used to generate the table of contents.  The order is very important since it will determine the table of content's nesting structure
        selectors: "h1, h2, h3",

        // **showAndHide**: Accepts a boolean: true or false
        // Used to determine if elements should be shown and hidden
        showAndHide: true,

        // **showEffect**: Accepts String: "none", "fadeIn", "show", or "slideDown"
        // Used to display any of the table of contents nested items
        showEffect: "slideDown",

        // **showEffectSpeed**: Accepts Number (milliseconds) or String: "slow", "medium", or "fast"
        // The time duration of the show animation
        showEffectSpeed: "medium",

        // **hideEffect**: Accepts String: "none", "fadeOut", "hide", or "slideUp"
        // Used to hide any of the table of contents nested items
        hideEffect: "slideUp",

        // **hideEffectSpeed**: Accepts Number (milliseconds) or String: "slow", "medium", or "fast"
        // The time duration of the hide animation
        hideEffectSpeed: "medium",

        // **smoothScroll**: Accepts a boolean: true or false
        // Determines if a jQuery animation should be used to scroll to specific table of contents items on the page
        smoothScroll: true,

        // **smoothScrollSpeed**: Accepts Number (milliseconds) or String: "slow", "medium", or "fast"
        // The time duration of the smoothScroll animation
        smoothScrollSpeed: "medium",

        // **scrollTo**: Accepts Number (pixels)
        // The amount of space between the top of page and the selected table of contents item after the page has been scrolled
        scrollTo: 0,

        // **showAndHideOnScroll**: Accepts a boolean: true or false
        // Determines if table of contents nested items should be shown and hidden while scrolling
        showAndHideOnScroll: true,

        // **highlightOnScroll**: Accepts a boolean: true or false
        // Determines if table of contents nested items should be highlighted (set to a different color) while scrolling
        highlightOnScroll: true,

        // **highlightOffset**: Accepts a number
        // The offset distance in pixels to trigger the next active table of contents item
        highlightOffset: 40,

        // **theme**: Accepts a string: "bootstrap", "jqueryui", or "none"
        // Determines if Twitter Bootstrap, jQueryUI, or Tocify classes should be added to the table of contents
        theme: "bootstrap",

        // **extendPage**: Accepts a boolean: true or false
        // If a user scrolls to the bottom of the page and the page is not tall enough to scroll to the last table of contents item, then the page height is increased
        extendPage: true,

        // **extendPageOffset**: Accepts a number: pixels
        // How close to the bottom of the page a user must scroll before the page is extended
        extendPageOffset: 100,

        // **history**: Accepts a boolean: true or false
        // Adds a hash to the page url to maintain history
        history: true,

        // **scrollHistory**: Accepts a boolean: true or false
        // Adds a hash to the page url, to maintain history, when scrolling to a TOC item
        scrollHistory: false,

        // **hashGenerator**: How the hash value (the anchor segment of the URL, following the
        // # character) will be generated.
        //
        // "compact" (default) - #CompressesEverythingTogether
        // "pretty" - #looks-like-a-nice-url-and-is-easily-readable
        // function(text, element){} - Your own hash generation function that accepts the text as an
        // argument, and returns the hash value.
        hashGenerator: "compact",

        // **highlightDefault**: Accepts a boolean: true or false
        // Set's the first TOC item as active if no other TOC item is active.
        highlightDefault: true

      },

      // _Create
      // -------
      //      Constructs the plugin.  Only called once.
      _create: function() {

        var self = this;

        self.extendPageScroll = true;

        // Internal array that keeps track of all TOC items (Helps to recognize if there are duplicate TOC item strings)
        self.items = [];

        // Generates the HTML for the dynamic table of contents
        self._generateToc();

        // Adds CSS classes to the newly generated table of contents HTML
        self._addCSSClasses();

        self.webkit = (function() {

          for (var prop in window) {

            if (prop) {

              if (prop.toLowerCase().indexOf("webkit") !== -1) {

                return true;

              }

            }

          }

          return false;

        }());

        // Adds jQuery event handlers to the newly generated table of contents
        self._setEventHandlers();

        // Binding to the Window load event to make sure the correct scrollTop is calculated
        $(window).on("load", function() {

          // Sets the active TOC item
          self._setActiveElement(true);

          // Once all animations on the page are complete, this callback function will be called
          $("html, body").promise().done(function() {

            setTimeout(function() {

              self.extendPageScroll = false;

            }, 0);

          });

        });

      },

      // _generateToc
      // ------------
      //      Generates the HTML for the dynamic table of contents
      _generateToc: function() {

        // _Local variables_

        // Stores the plugin context in the self variable
        var self = this,

          // All of the HTML tags found within the context provided (i.e. body) that match the top level jQuery selector above
          firstElem,

          // Instantiated variable that will store the top level newly created unordered list DOM element
          ul,
          ignoreSelector = self.options.ignoreSelector;


        // Determine the element to start the toc with
        // get all the top level selectors
        firstElem = [];
        var selectors = this.options.selectors.replace(/ /g, "").split(",");
        // find the first set that have at least one non-ignored element
        for(var i = 0; i < selectors.length; i++) {
          var foundSelectors = $(this.options.context).find(selectors[i]);
          for (var s = 0; s < foundSelectors.length; s++) {
            if (!$(foundSelectors[s]).is(ignoreSelector)) {
              firstElem = foundSelectors;
              break;
            }
          }
          if (firstElem.length> 0)
            break;
        }

        if (!firstElem.length) {

          self.element.addClass(hideTocClassName);

          return;

        }

        self.element.addClass(tocClassName);

        // Loops through each top level selector
        firstElem.each(function(index) {

          //If the element matches the ignoreSelector then we skip it
          if ($(this).is(ignoreSelector)) {
            return;
          }

          // Creates an unordered list HTML element and adds a dynamic ID and standard class name
          ul = $("<ul/>", {
            "id": headerClassName + index,
            "class": headerClassName
          }).

          // Appends a top level list item HTML element to the previously created HTML header
          append(self._nestElements($(this), index));

          // Add the created unordered list element to the HTML element calling the plugin
          self.element.append(ul);

          // Finds all of the HTML tags between the header and subheader elements
          $(this).nextUntil(this.nodeName.toLowerCase()).each(function() {

            // If there are no nested subheader elemements
            if ($(this).find(self.options.selectors).length === 0) {

              // Loops through all of the subheader elements
              $(this).filter(self.options.selectors).each(function() {

                //If the element matches the ignoreSelector then we skip it
                if ($(this).is(ignoreSelector)) {
                  return;
                }

                self._appendSubheaders.call(this, self, ul);

              });

            }

            // If there are nested subheader elements
            else {

              // Loops through all of the subheader elements
              $(this).find(self.options.selectors).each(function() {

                //If the element matches the ignoreSelector then we skip it
                if ($(this).is(ignoreSelector)) {
                  return;
                }

                self._appendSubheaders.call(this, self, ul);

              });

            }

          });

        });

      },

      _setActiveElement: function(pageload) {

        var self = this,

          hash = window.location.hash.substring(1),

          elem = self.element.find('li[data-unique="' + hash + '"]');

        if (hash.length) {

          // Removes highlighting from all of the list item's
          self.element.find("." + self.focusClass).removeClass(self.focusClass);

          // Highlights the current list item that was clicked
          elem.addClass(self.focusClass);

          // Triggers the click event on the currently focused TOC item
          elem.click();

        } else {

          // Removes highlighting from all of the list item's
          self.element.find("." + self.focusClass).removeClass(self.focusClass);

          if (!hash.length && pageload && self.options.highlightDefault) {

            // Highlights the first TOC item if no other items are highlighted
            self.element.find(itemClass).first().addClass(self.focusClass);

          }

        }

        return self;

      },

      // _nestElements
      // -------------
      //      Helps create the table of contents list by appending nested list items
      _nestElements: function(self, index) {

        var arr, item, hashValue;

        arr = $.grep(this.items, function(item) {

          return item === self.text();

        });

        // If there is already a duplicate TOC item
        if (arr.length) {

          // Adds the current TOC item text and index (for slight randomization) to the internal array
          this.items.push(self.text() + index);

        }

        // If there not a duplicate TOC item
        else {

          // Adds the current TOC item text to the internal array
          this.items.push(self.text());

        }

        hashValue = this._generateHashValue(arr, self, index);

        // Appends a list item HTML element to the last unordered list HTML element found within the HTML element calling the plugin
        item = $("<li/>", {

          // Sets a common class name to the list item
          "class": itemClassName,

          "data-unique": hashValue

        });

        if (this.options.theme !== "bootstrap3") {

          item.append($("<a/>", {

            "html": self.html()

          }));

        } else {

          item.html(self.html());

        }

        // Adds an HTML anchor tag before the currently traversed HTML element
        self.before($("<div/>", {

          // Sets a name attribute on the anchor tag to the text of the currently traversed HTML element (also making sure that all whitespace is replaced with an underscore)
          "name": hashValue,

          "data-unique": hashValue

        }));

        return item;

      },

      // _generateHashValue
      // ------------------
      //      Generates the hash value that will be used to refer to each item.
      _generateHashValue: function(arr, self, index) {

        var hashValue = "",
          hashGeneratorOption = this.options.hashGenerator;

        if (hashGeneratorOption === "pretty") {

          // prettify the text
          hashValue = self.text().toLowerCase().replace(/\s/g, "-");

          // fix double hyphens
          while (hashValue.indexOf("--") > -1) {
            hashValue = hashValue.replace(/--/g, "-");
          }

          // fix colon-space instances
          while (hashValue.indexOf(":-") > -1) {
            hashValue = hashValue.replace(/:-/g, "-");
          }

        } else if (typeof hashGeneratorOption === "function") {

          // call the function
          hashValue = hashGeneratorOption(self.text(), self);

        } else {

          // compact - the default
          hashValue = self.text().replace(/\s/g, "");

        }

        // add the index if we need to
        if (arr.length) {
          hashValue += "" + index;
        }

        // return the value
        return hashValue;

      },

      // _appendElements
      // ---------------
      //      Helps create the table of contents list by appending subheader elements

      _appendSubheaders: function(self, ul) {

        // The current element index
        var index = $(this).index(self.options.selectors),

          // Finds the previous header DOM element
          previousHeader = $(self.options.selectors).eq(index - 1),

          currentTagName = +$(this).prop("tagName").charAt(1),

          previousTagName = +previousHeader.prop("tagName").charAt(1),

          lastSubheader;

        // If the current header DOM element is smaller than the previous header DOM element or the first subheader
        if (currentTagName < previousTagName) {

          // Selects the last unordered list HTML found within the HTML element calling the plugin
          self.element.find(subheaderClass + "[data-tag=" + currentTagName + "]").last().append(self._nestElements($(this), index));

        }

        // If the current header DOM element is the same type of header(eg. h4) as the previous header DOM element
        else if (currentTagName === previousTagName) {

          ul.find(itemClass).last().after(self._nestElements($(this), index));

        } else {

          // Selects the last unordered list HTML found within the HTML element calling the plugin
          ul.find(itemClass).last().

          // Appends an unorderedList HTML element to the dynamic `unorderedList` variable and sets a common class name
          after($("<ul/>", {

            "class": subheaderClassName,

            "data-tag": currentTagName

          })).next(subheaderClass).

          // Appends a list item HTML element to the last unordered list HTML element found within the HTML element calling the plugin
          append(self._nestElements($(this), index));
        }

      },

      // _setEventHandlers
      // ----------------
      //      Adds jQuery event handlers to the newly generated table of contents
      _setEventHandlers: function() {

        // _Local variables_

        // Stores the plugin context in the self variable
        var self = this,

          // Instantiates a new variable that will be used to hold a specific element's context
          $self,

          // Instantiates a new variable that will be used to determine the smoothScroll animation time duration
          duration;

        // Event delegation that looks for any clicks on list item elements inside of the HTML element calling the plugin
        this.element.on("click.tocify", "li", function(event) {

          if (self.options.history) {

            window.location.hash = $(this).attr("data-unique");

          }

          // Removes highlighting from all of the list item's
          self.element.find("." + self.focusClass).removeClass(self.focusClass);

          // Highlights the current list item that was clicked
          $(this).addClass(self.focusClass);

          // If the showAndHide option is true
          if (self.options.showAndHide) {

            var elem = $('li[data-unique="' + $(this).attr("data-unique") + '"]');

            self._triggerShow(elem);

          }

          self._scrollTo($(this));

        });

        // Mouseenter and Mouseleave event handlers for the list item's within the HTML element calling the plugin
        this.element.find("li").on({

          // Mouseenter event handler
          "mouseenter.tocify": function() {

            // Adds a hover CSS class to the current list item
            $(this).addClass(self.hoverClass);

            // Makes sure the cursor is set to the pointer icon
            $(this).css("cursor", "pointer");

          },

          // Mouseleave event handler
          "mouseleave.tocify": function() {

            if (self.options.theme !== "bootstrap") {

              // Removes the hover CSS class from the current list item
              $(this).removeClass(self.hoverClass);

            }

          }
        });

        // only attach handler if needed (expensive in IE)
        if (self.options.extendPage || self.options.highlightOnScroll || self.options.scrollHistory || self.options.showAndHideOnScroll) {
          // Window scroll event handler
          $(window).on("scroll.tocify", function() {

            // Once all animations on the page are complete, this callback function will be called
            $("html, body").promise().done(function() {

              // Local variables

              // Stores how far the user has scrolled
              var winScrollTop = $(window).scrollTop(),

                // Stores the height of the window
                winHeight = $(window).height(),

                // Stores the height of the document
                docHeight = $(document).height(),

                scrollHeight = $("body")[0].scrollHeight,

                // Instantiates a variable that will be used to hold a selected HTML element
                elem,

                lastElem,

                lastElemOffset,

                currentElem;

              if (self.options.extendPage) {

                // If the user has scrolled to the bottom of the page and the last toc item is not focused
                if ((self.webkit && winScrollTop >= scrollHeight - winHeight - self.options.extendPageOffset) || (!self.webkit && winHeight + winScrollTop > docHeight - self.options.extendPageOffset)) {

                  if (!$(extendPageClass).length) {

                    lastElem = $('div[data-unique="' + $(itemClass).last().attr("data-unique") + '"]');

                    if (!lastElem.length) return;

                    // Gets the top offset of the page header that is linked to the last toc item
                    lastElemOffset = lastElem.offset().top;

                    // Appends a div to the bottom of the page and sets the height to the difference of the window scrollTop and the last element's position top offset
                    $(self.options.context).append($("<div/>", {

                      "class": extendPageClassName,

                      "height": Math.abs(lastElemOffset - winScrollTop) + "px",

                      "data-unique": extendPageClassName

                    }));

                    if (self.extendPageScroll) {

                      currentElem = self.element.find('li.' + self.focusClass);

                      self._scrollTo($('div[data-unique="' + currentElem.attr("data-unique") + '"]'));

                    }

                  }

                }

              }

              // The zero timeout ensures the following code is run after the scroll events
              setTimeout(function() {

                // _Local variables_

                // Stores the distance to the closest anchor
                var closestAnchorDistance = null,

                  // Stores the index of the closest anchor
                  closestAnchorIdx = null,

                  // Keeps a reference to all anchors
                  anchors = $(self.options.context).find("div[data-unique]"),

                  anchorText;

                // Determines the index of the closest anchor
                anchors.each(function(idx) {
                  var distance = Math.abs(($(this).next().length ? $(this).next() : $(this)).offset().top - winScrollTop - self.options.highlightOffset);
                  if (closestAnchorDistance == null || distance < closestAnchorDistance) {
                    closestAnchorDistance = distance;
                    closestAnchorIdx = idx;
                  } else {
                    return false;
                  }
                });

                anchorText = $(anchors[closestAnchorIdx]).attr("data-unique");

                // Stores the list item HTML element that corresponds to the currently traversed anchor tag
                elem = $('li[data-unique="' + anchorText + '"]');

                // If the `highlightOnScroll` option is true and a next element is found
                if (self.options.highlightOnScroll && elem.length) {

                  // Removes highlighting from all of the list item's
                  self.element.find("." + self.focusClass).removeClass(self.focusClass);

                  // Highlights the corresponding list item
                  elem.addClass(self.focusClass);

                }

                if (self.options.scrollHistory) {

                  if (window.location.hash !== "#" + anchorText) {

                    window.location.replace("#" + anchorText);

                  }
                }

                // If the `showAndHideOnScroll` option is true
                if (self.options.showAndHideOnScroll && self.options.showAndHide) {

                  self._triggerShow(elem, true);

                }

              }, 0);

            });

          });
        }

      },

      // Show
      // ----
      //      Opens the current sub-header
      show: function(elem, scroll) {

        // Stores the plugin context in the `self` variable
        var self = this,
          element = elem;

        // If the sub-header is not already visible
        if (!elem.is(":visible")) {

          // If the current element does not have any nested subheaders, is not a header, and its parent is not visible
          if (!elem.find(subheaderClass).length && !elem.parent().is(headerClass) && !elem.parent().is(":visible")) {

            // Sets the current element to all of the subheaders within the current header
            elem = elem.parents(subheaderClass).add(elem);

          }

          // If the current element does not have any nested subheaders and is not a header
          else if (!elem.children(subheaderClass).length && !elem.parent().is(headerClass)) {

            // Sets the current element to the closest subheader
            elem = elem.closest(subheaderClass);

          }

          //Determines what jQuery effect to use
          switch (self.options.showEffect) {

            //Uses `no effect`
            case "none":

              elem.show();

              break;

              //Uses the jQuery `show` special effect
            case "show":

              elem.show(self.options.showEffectSpeed);

              break;

              //Uses the jQuery `slideDown` special effect
            case "slideDown":

              elem.slideDown(self.options.showEffectSpeed);

              break;

              //Uses the jQuery `fadeIn` special effect
            case "fadeIn":

              elem.fadeIn(self.options.showEffectSpeed);

              break;

              //If none of the above options were passed, then a `jQueryUI show effect` is expected
            default:

              elem.show();

              break;

          }

        }

        // If the current subheader parent element is a header
        if (elem.parent().is(headerClass)) {

          // Hides all non-active sub-headers
          self.hide($(subheaderClass).not(elem));

        }

        // If the current subheader parent element is not a header
        else {

          // Hides all non-active sub-headers
          self.hide($(subheaderClass).not(elem.closest(headerClass).find(subheaderClass).not(elem.siblings())));

        }

        // Maintains chainablity
        return self;

      },

      // Hide
      // ----
      //      Closes the current sub-header
      hide: function(elem) {

        // Stores the plugin context in the `self` variable
        var self = this;

        //Determines what jQuery effect to use
        switch (self.options.hideEffect) {

          // Uses `no effect`
          case "none":

            elem.hide();

            break;

            // Uses the jQuery `hide` special effect
          case "hide":

            elem.hide(self.options.hideEffectSpeed);

            break;

            // Uses the jQuery `slideUp` special effect
          case "slideUp":

            elem.slideUp(self.options.hideEffectSpeed);

            break;

            // Uses the jQuery `fadeOut` special effect
          case "fadeOut":

            elem.fadeOut(self.options.hideEffectSpeed);

            break;

            // If none of the above options were passed, then a `jqueryUI hide effect` is expected
          default:

            elem.hide();

            break;

        }

        // Maintains chainablity
        return self;
      },

      // _triggerShow
      // ------------
      //      Determines what elements get shown on scroll and click
      _triggerShow: function(elem, scroll) {

        var self = this;

        // If the current element's parent is a header element or the next element is a nested subheader element
        if (elem.parent().is(headerClass) || elem.next().is(subheaderClass)) {

          // Shows the next sub-header element
          self.show(elem.next(subheaderClass), scroll);

        }

        // If the current element's parent is a subheader element
        else if (elem.parent().is(subheaderClass)) {

          // Shows the parent sub-header element
          self.show(elem.parent(), scroll);

        }

        // Maintains chainability
        return self;

      },

      // _addCSSClasses
      // --------------
      //      Adds CSS classes to the newly generated table of contents HTML
      _addCSSClasses: function() {

        // If the user wants a jqueryUI theme
        if (this.options.theme === "jqueryui") {

          this.focusClass = "ui-state-default";

          this.hoverClass = "ui-state-hover";

          //Adds the default styling to the dropdown list
          this.element.addClass("ui-widget").find(".toc-title").addClass("ui-widget-header").end().find("li").addClass("ui-widget-content");

        }

        // If the user wants a twitterBootstrap theme
        else if (this.options.theme === "bootstrap") {

          this.element.find(headerClass + "," + subheaderClass).addClass("nav nav-list");

          this.focusClass = "active";

        }

        // If the user wants a twitterBootstrap theme
        else if (this.options.theme === "bootstrap3") {

          this.element.find(headerClass + "," + subheaderClass).addClass("list-group");

          this.element.find(itemClass).addClass("list-group-item");

          this.focusClass = "active";

        }

        // If a user does not want a prebuilt theme
        else {

          // Adds more neutral classes (instead of jqueryui)

          this.focusClass = tocFocusClassName;

          this.hoverClass = tocHoverClassName;

        }

        //Maintains chainability
        return this;

      },

      // setOption
      // ---------
      //      Sets a single Tocify option after the plugin is invoked
      setOption: function() {

        // Calls the jQueryUI Widget Factory setOption method
        $.Widget.prototype._setOption.apply(this, arguments);

      },

      // setOptions
      // ----------
      //      Sets a single or multiple Tocify options after the plugin is invoked
      setOptions: function() {

        // Calls the jQueryUI Widget Factory setOptions method
        $.Widget.prototype._setOptions.apply(this, arguments);

      },

      // _scrollTo
      // ---------
      //      Scrolls to a specific element
      _scrollTo: function(elem) {

        var self = this,
          duration = self.options.smoothScroll || 0,
          scrollTo = self.options.scrollTo,
          currentDiv = $('div[data-unique="' + elem.attr("data-unique") + '"]');

        if (!currentDiv.length) {

          return self;

        }

        // Once all animations on the page are complete, this callback function will be called
        $("html, body").promise().done(function() {

          // Animates the html and body element scrolltops
          $("html, body").animate({

            // Sets the jQuery `scrollTop` to the top offset of the HTML div tag that matches the current list item's `data-unique` tag
            "scrollTop": currentDiv.offset().top - ($.isFunction(scrollTo) ? scrollTo.call() : scrollTo) + "px"

          }, {

            // Sets the smoothScroll animation time duration to the smoothScrollSpeed option
            "duration": duration

          });

        });

        // Maintains chainability
        return self;

      }

    });

  })); //end of plugin
"></script>
<script src="data:application/javascript;base64,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"></script>
<link href="data:text/css,%2Ehljs%2Dliteral%20%7B%0Acolor%3A%20%23990073%3B%0A%7D%0A%2Ehljs%2Dnumber%20%7B%0Acolor%3A%20%23099%3B%0A%7D%0A%2Ehljs%2Dcomment%20%7B%0Acolor%3A%20%23998%3B%0Afont%2Dstyle%3A%20italic%3B%0A%7D%0A%2Ehljs%2Dkeyword%20%7B%0Acolor%3A%20%23900%3B%0Afont%2Dweight%3A%20bold%3B%0A%7D%0A%2Ehljs%2Dstring%20%7B%0Acolor%3A%20%23d14%3B%0A%7D%0A" rel="stylesheet" />
<script src="data:application/javascript;base64,/*! highlight.js v9.12.0 | BSD3 License | git.io/hljslicense */
!function(e){var n="object"==typeof window&&window||"object"==typeof self&&self;"undefined"!=typeof exports?e(exports):n&&(n.hljs=e({}),"function"==typeof define&&define.amd&&define([],function(){return n.hljs}))}(function(e){function n(e){return e.replace(/&/g,"&amp;").replace(/</g,"&lt;").replace(/>/g,"&gt;")}function t(e){return e.nodeName.toLowerCase()}function r(e,n){var t=e&&e.exec(n);return t&&0===t.index}function a(e){return k.test(e)}function i(e){var n,t,r,i,o=e.className+" ";if(o+=e.parentNode?e.parentNode.className:"",t=B.exec(o))return w(t[1])?t[1]:"no-highlight";for(o=o.split(/\s+/),n=0,r=o.length;r>n;n++)if(i=o[n],a(i)||w(i))return i}function o(e){var n,t={},r=Array.prototype.slice.call(arguments,1);for(n in e)t[n]=e[n];return r.forEach(function(e){for(n in e)t[n]=e[n]}),t}function u(e){var n=[];return function r(e,a){for(var i=e.firstChild;i;i=i.nextSibling)3===i.nodeType?a+=i.nodeValue.length:1===i.nodeType&&(n.push({event:"start",offset:a,node:i}),a=r(i,a),t(i).match(/br|hr|img|input/)||n.push({event:"stop",offset:a,node:i}));return a}(e,0),n}function c(e,r,a){function i(){return e.length&&r.length?e[0].offset!==r[0].offset?e[0].offset<r[0].offset?e:r:"start"===r[0].event?e:r:e.length?e:r}function o(e){function r(e){return" "+e.nodeName+'="'+n(e.value).replace('"',"&quot;")+'"'}s+="<"+t(e)+E.map.call(e.attributes,r).join("")+">"}function u(e){s+="</"+t(e)+">"}function c(e){("start"===e.event?o:u)(e.node)}for(var l=0,s="",f=[];e.length||r.length;){var g=i();if(s+=n(a.substring(l,g[0].offset)),l=g[0].offset,g===e){f.reverse().forEach(u);do c(g.splice(0,1)[0]),g=i();while(g===e&&g.length&&g[0].offset===l);f.reverse().forEach(o)}else"start"===g[0].event?f.push(g[0].node):f.pop(),c(g.splice(0,1)[0])}return s+n(a.substr(l))}function l(e){return e.v&&!e.cached_variants&&(e.cached_variants=e.v.map(function(n){return o(e,{v:null},n)})),e.cached_variants||e.eW&&[o(e)]||[e]}function s(e){function n(e){return e&&e.source||e}function t(t,r){return new RegExp(n(t),"m"+(e.cI?"i":"")+(r?"g":""))}function r(a,i){if(!a.compiled){if(a.compiled=!0,a.k=a.k||a.bK,a.k){var o={},u=function(n,t){e.cI&&(t=t.toLowerCase()),t.split(" ").forEach(function(e){var t=e.split("|");o[t[0]]=[n,t[1]?Number(t[1]):1]})};"string"==typeof a.k?u("keyword",a.k):x(a.k).forEach(function(e){u(e,a.k[e])}),a.k=o}a.lR=t(a.l||/\w+/,!0),i&&(a.bK&&(a.b="\\b("+a.bK.split(" ").join("|")+")\\b"),a.b||(a.b=/\B|\b/),a.bR=t(a.b),a.e||a.eW||(a.e=/\B|\b/),a.e&&(a.eR=t(a.e)),a.tE=n(a.e)||"",a.eW&&i.tE&&(a.tE+=(a.e?"|":"")+i.tE)),a.i&&(a.iR=t(a.i)),null==a.r&&(a.r=1),a.c||(a.c=[]),a.c=Array.prototype.concat.apply([],a.c.map(function(e){return l("self"===e?a:e)})),a.c.forEach(function(e){r(e,a)}),a.starts&&r(a.starts,i);var c=a.c.map(function(e){return e.bK?"\\.?("+e.b+")\\.?":e.b}).concat([a.tE,a.i]).map(n).filter(Boolean);a.t=c.length?t(c.join("|"),!0):{exec:function(){return null}}}}r(e)}function f(e,t,a,i){function o(e,n){var t,a;for(t=0,a=n.c.length;a>t;t++)if(r(n.c[t].bR,e))return n.c[t]}function u(e,n){if(r(e.eR,n)){for(;e.endsParent&&e.parent;)e=e.parent;return e}return e.eW?u(e.parent,n):void 0}function c(e,n){return!a&&r(n.iR,e)}function l(e,n){var t=N.cI?n[0].toLowerCase():n[0];return e.k.hasOwnProperty(t)&&e.k[t]}function p(e,n,t,r){var a=r?"":I.classPrefix,i='<span class="'+a,o=t?"":C;return i+=e+'">',i+n+o}function h(){var e,t,r,a;if(!E.k)return n(k);for(a="",t=0,E.lR.lastIndex=0,r=E.lR.exec(k);r;)a+=n(k.substring(t,r.index)),e=l(E,r),e?(B+=e[1],a+=p(e[0],n(r[0]))):a+=n(r[0]),t=E.lR.lastIndex,r=E.lR.exec(k);return a+n(k.substr(t))}function d(){var e="string"==typeof E.sL;if(e&&!y[E.sL])return n(k);var t=e?f(E.sL,k,!0,x[E.sL]):g(k,E.sL.length?E.sL:void 0);return E.r>0&&(B+=t.r),e&&(x[E.sL]=t.top),p(t.language,t.value,!1,!0)}function b(){L+=null!=E.sL?d():h(),k=""}function v(e){L+=e.cN?p(e.cN,"",!0):"",E=Object.create(e,{parent:{value:E}})}function m(e,n){if(k+=e,null==n)return b(),0;var t=o(n,E);if(t)return t.skip?k+=n:(t.eB&&(k+=n),b(),t.rB||t.eB||(k=n)),v(t,n),t.rB?0:n.length;var r=u(E,n);if(r){var a=E;a.skip?k+=n:(a.rE||a.eE||(k+=n),b(),a.eE&&(k=n));do E.cN&&(L+=C),E.skip||(B+=E.r),E=E.parent;while(E!==r.parent);return r.starts&&v(r.starts,""),a.rE?0:n.length}if(c(n,E))throw new Error('Illegal lexeme "'+n+'" for mode "'+(E.cN||"<unnamed>")+'"');return k+=n,n.length||1}var N=w(e);if(!N)throw new Error('Unknown language: "'+e+'"');s(N);var R,E=i||N,x={},L="";for(R=E;R!==N;R=R.parent)R.cN&&(L=p(R.cN,"",!0)+L);var k="",B=0;try{for(var M,j,O=0;;){if(E.t.lastIndex=O,M=E.t.exec(t),!M)break;j=m(t.substring(O,M.index),M[0]),O=M.index+j}for(m(t.substr(O)),R=E;R.parent;R=R.parent)R.cN&&(L+=C);return{r:B,value:L,language:e,top:E}}catch(T){if(T.message&&-1!==T.message.indexOf("Illegal"))return{r:0,value:n(t)};throw T}}function g(e,t){t=t||I.languages||x(y);var r={r:0,value:n(e)},a=r;return t.filter(w).forEach(function(n){var t=f(n,e,!1);t.language=n,t.r>a.r&&(a=t),t.r>r.r&&(a=r,r=t)}),a.language&&(r.second_best=a),r}function p(e){return I.tabReplace||I.useBR?e.replace(M,function(e,n){return I.useBR&&"\n"===e?"<br>":I.tabReplace?n.replace(/\t/g,I.tabReplace):""}):e}function h(e,n,t){var r=n?L[n]:t,a=[e.trim()];return e.match(/\bhljs\b/)||a.push("hljs"),-1===e.indexOf(r)&&a.push(r),a.join(" ").trim()}function d(e){var n,t,r,o,l,s=i(e);a(s)||(I.useBR?(n=document.createElementNS("http://www.w3.org/1999/xhtml","div"),n.innerHTML=e.innerHTML.replace(/\n/g,"").replace(/<br[ \/]*>/g,"\n")):n=e,l=n.textContent,r=s?f(s,l,!0):g(l),t=u(n),t.length&&(o=document.createElementNS("http://www.w3.org/1999/xhtml","div"),o.innerHTML=r.value,r.value=c(t,u(o),l)),r.value=p(r.value),e.innerHTML=r.value,e.className=h(e.className,s,r.language),e.result={language:r.language,re:r.r},r.second_best&&(e.second_best={language:r.second_best.language,re:r.second_best.r}))}function b(e){I=o(I,e)}function v(){if(!v.called){v.called=!0;var e=document.querySelectorAll("pre code");E.forEach.call(e,d)}}function m(){addEventListener("DOMContentLoaded",v,!1),addEventListener("load",v,!1)}function N(n,t){var r=y[n]=t(e);r.aliases&&r.aliases.forEach(function(e){L[e]=n})}function R(){return x(y)}function w(e){return e=(e||"").toLowerCase(),y[e]||y[L[e]]}var E=[],x=Object.keys,y={},L={},k=/^(no-?highlight|plain|text)$/i,B=/\blang(?:uage)?-([\w-]+)\b/i,M=/((^(<[^>]+>|\t|)+|(?:\n)))/gm,C="</span>",I={classPrefix:"hljs-",tabReplace:null,useBR:!1,languages:void 0};return e.highlight=f,e.highlightAuto=g,e.fixMarkup=p,e.highlightBlock=d,e.configure=b,e.initHighlighting=v,e.initHighlightingOnLoad=m,e.registerLanguage=N,e.listLanguages=R,e.getLanguage=w,e.inherit=o,e.IR="[a-zA-Z]\\w*",e.UIR="[a-zA-Z_]\\w*",e.NR="\\b\\d+(\\.\\d+)?",e.CNR="(-?)(\\b0[xX][a-fA-F0-9]+|(\\b\\d+(\\.\\d*)?|\\.\\d+)([eE][-+]?\\d+)?)",e.BNR="\\b(0b[01]+)",e.RSR="!|!=|!==|%|%=|&|&&|&=|\\*|\\*=|\\+|\\+=|,|-|-=|/=|/|:|;|<<|<<=|<=|<|===|==|=|>>>=|>>=|>=|>>>|>>|>|\\?|\\[|\\{|\\(|\\^|\\^=|\\||\\|=|\\|\\||~",e.BE={b:"\\\\[\\s\\S]",r:0},e.ASM={cN:"string",b:"'",e:"'",i:"\\n",c:[e.BE]},e.QSM={cN:"string",b:'"',e:'"',i:"\\n",c:[e.BE]},e.PWM={b:/\b(a|an|the|are|I'm|isn't|don't|doesn't|won't|but|just|should|pretty|simply|enough|gonna|going|wtf|so|such|will|you|your|they|like|more)\b/},e.C=function(n,t,r){var a=e.inherit({cN:"comment",b:n,e:t,c:[]},r||{});return a.c.push(e.PWM),a.c.push({cN:"doctag",b:"(?:TODO|FIXME|NOTE|BUG|XXX):",r:0}),a},e.CLCM=e.C("//","$"),e.CBCM=e.C("/\\*","\\*/"),e.HCM=e.C("#","$"),e.NM={cN:"number",b:e.NR,r:0},e.CNM={cN:"number",b:e.CNR,r:0},e.BNM={cN:"number",b:e.BNR,r:0},e.CSSNM={cN:"number",b:e.NR+"(%|em|ex|ch|rem|vw|vh|vmin|vmax|cm|mm|in|pt|pc|px|deg|grad|rad|turn|s|ms|Hz|kHz|dpi|dpcm|dppx)?",r:0},e.RM={cN:"regexp",b:/\//,e:/\/[gimuy]*/,i:/\n/,c:[e.BE,{b:/\[/,e:/\]/,r:0,c:[e.BE]}]},e.TM={cN:"title",b:e.IR,r:0},e.UTM={cN:"title",b:e.UIR,r:0},e.METHOD_GUARD={b:"\\.\\s*"+e.UIR,r:0},e});hljs.registerLanguage("sql",function(e){var t=e.C("--","$");return{cI:!0,i:/[<>{}*#]/,c:[{bK:"begin end start commit rollback savepoint lock alter create drop rename call delete do handler insert load replace select truncate update set show pragma grant merge describe use explain help declare prepare execute deallocate release unlock purge reset change stop analyze cache flush optimize repair kill install uninstall checksum restore check backup revoke comment",e:/;/,eW:!0,l:/[\w\.]+/,k:{keyword:"abort abs absolute acc acce accep accept access accessed accessible account acos action activate add addtime admin administer advanced advise aes_decrypt aes_encrypt after agent aggregate ali alia alias allocate allow alter always analyze ancillary and any anydata anydataset anyschema anytype apply archive archived archivelog are as asc ascii asin assembly assertion associate asynchronous at atan atn2 attr attri attrib attribu attribut attribute attributes audit authenticated authentication authid authors auto autoallocate autodblink autoextend automatic availability avg backup badfile basicfile before begin beginning benchmark between bfile bfile_base big bigfile bin binary_double binary_float binlog bit_and bit_count bit_length bit_or bit_xor bitmap blob_base block blocksize body both bound buffer_cache buffer_pool build bulk by byte byteordermark bytes cache caching call calling cancel capacity cascade cascaded case cast catalog category ceil ceiling chain change changed char_base char_length character_length characters characterset charindex charset charsetform charsetid check checksum checksum_agg child choose chr chunk class cleanup clear client clob clob_base clone close cluster_id cluster_probability cluster_set clustering coalesce coercibility col collate collation collect colu colum column column_value columns columns_updated comment commit compact compatibility compiled complete composite_limit compound compress compute concat concat_ws concurrent confirm conn connec connect connect_by_iscycle connect_by_isleaf connect_by_root connect_time connection consider consistent constant constraint constraints constructor container content contents context contributors controlfile conv convert convert_tz corr corr_k corr_s corresponding corruption cos cost count count_big counted covar_pop covar_samp cpu_per_call cpu_per_session crc32 create creation critical cross cube cume_dist curdate current current_date current_time current_timestamp current_user cursor curtime customdatum cycle data database databases datafile datafiles datalength date_add date_cache date_format date_sub dateadd datediff datefromparts datename datepart datetime2fromparts day day_to_second dayname dayofmonth dayofweek dayofyear days db_role_change dbtimezone ddl deallocate declare decode decompose decrement decrypt deduplicate def defa defau defaul default defaults deferred defi defin define degrees delayed delegate delete delete_all delimited demand dense_rank depth dequeue des_decrypt des_encrypt des_key_file desc descr descri describ describe descriptor deterministic diagnostics difference dimension direct_load directory disable disable_all disallow disassociate discardfile disconnect diskgroup distinct distinctrow distribute distributed div do document domain dotnet double downgrade drop dumpfile duplicate duration each edition editionable editions element ellipsis else elsif elt empty enable enable_all enclosed encode encoding encrypt end end-exec endian enforced engine engines enqueue enterprise entityescaping eomonth error errors escaped evalname evaluate event eventdata events except exception exceptions exchange exclude excluding execu execut execute exempt exists exit exp expire explain export export_set extended extent external external_1 external_2 externally extract failed failed_login_attempts failover failure far fast feature_set feature_value fetch field fields file file_name_convert filesystem_like_logging final finish first first_value fixed flash_cache flashback floor flush following follows for forall force form forma format found found_rows freelist freelists freepools fresh from from_base64 from_days ftp full function general generated get get_format get_lock getdate getutcdate global global_name globally go goto grant grants greatest group group_concat group_id grouping grouping_id groups gtid_subtract guarantee guard handler hash hashkeys having hea head headi headin heading heap help hex hierarchy high high_priority hosts hour http id ident_current ident_incr ident_seed identified identity idle_time if ifnull ignore iif ilike ilm immediate import in include including increment index indexes indexing indextype indicator indices inet6_aton inet6_ntoa inet_aton inet_ntoa infile initial initialized initially initrans inmemory inner innodb input insert install instance instantiable instr interface interleaved intersect into invalidate invisible is is_free_lock is_ipv4 is_ipv4_compat is_not is_not_null is_used_lock isdate isnull isolation iterate java join json json_exists keep keep_duplicates key keys kill language large last last_day last_insert_id last_value lax lcase lead leading least leaves left len lenght length less level levels library like like2 like4 likec limit lines link list listagg little ln load load_file lob lobs local localtime localtimestamp locate locator lock locked log log10 log2 logfile logfiles logging logical logical_reads_per_call logoff logon logs long loop low low_priority lower lpad lrtrim ltrim main make_set makedate maketime managed management manual map mapping mask master master_pos_wait match matched materialized max maxextents maximize maxinstances maxlen maxlogfiles maxloghistory maxlogmembers maxsize maxtrans md5 measures median medium member memcompress memory merge microsecond mid migration min minextents minimum mining minus minute minvalue missing mod mode model modification modify module monitoring month months mount move movement multiset mutex name name_const names nan national native natural nav nchar nclob nested never new newline next nextval no no_write_to_binlog noarchivelog noaudit nobadfile nocheck nocompress nocopy nocycle nodelay nodiscardfile noentityescaping noguarantee nokeep nologfile nomapping nomaxvalue nominimize nominvalue nomonitoring none noneditionable nonschema noorder nopr nopro noprom nopromp noprompt norely noresetlogs noreverse normal norowdependencies noschemacheck noswitch not nothing notice notrim novalidate now nowait nth_value nullif nulls num numb numbe nvarchar nvarchar2 object ocicoll ocidate ocidatetime ociduration ociinterval ociloblocator ocinumber ociref ocirefcursor ocirowid ocistring ocitype oct octet_length of off offline offset oid oidindex old on online only opaque open operations operator optimal optimize option optionally or oracle oracle_date oradata ord ordaudio orddicom orddoc order ordimage ordinality ordvideo organization orlany orlvary out outer outfile outline output over overflow overriding package pad parallel parallel_enable parameters parent parse partial partition partitions pascal passing password password_grace_time password_lock_time password_reuse_max password_reuse_time password_verify_function patch path patindex pctincrease pctthreshold pctused pctversion percent percent_rank percentile_cont percentile_disc performance period period_add period_diff permanent physical pi pipe pipelined pivot pluggable plugin policy position post_transaction pow power pragma prebuilt precedes preceding precision prediction prediction_cost prediction_details prediction_probability prediction_set prepare present preserve prior priority private private_sga privileges procedural procedure procedure_analyze processlist profiles project prompt protection public publishingservername purge quarter query quick quiesce quota quotename radians raise rand range rank raw read reads readsize rebuild record records recover recovery recursive recycle redo reduced ref reference referenced references referencing refresh regexp_like register regr_avgx regr_avgy regr_count regr_intercept regr_r2 regr_slope regr_sxx regr_sxy reject rekey relational relative relaylog release release_lock relies_on relocate rely rem remainder rename repair repeat replace replicate replication required reset resetlogs resize resource respect restore restricted result result_cache resumable resume retention return returning returns reuse reverse revoke right rlike role roles rollback rolling rollup round row row_count rowdependencies rowid rownum rows rtrim rules safe salt sample save savepoint sb1 sb2 sb4 scan schema schemacheck scn scope scroll sdo_georaster sdo_topo_geometry search sec_to_time second section securefile security seed segment select self sequence sequential serializable server servererror session session_user sessions_per_user set sets settings sha sha1 sha2 share shared shared_pool short show shrink shutdown si_averagecolor si_colorhistogram si_featurelist si_positionalcolor si_stillimage si_texture siblings sid sign sin size size_t sizes skip slave sleep smalldatetimefromparts smallfile snapshot some soname sort soundex source space sparse spfile split sql sql_big_result sql_buffer_result sql_cache sql_calc_found_rows sql_small_result sql_variant_property sqlcode sqldata sqlerror sqlname sqlstate sqrt square standalone standby start starting startup statement static statistics stats_binomial_test stats_crosstab stats_ks_test stats_mode stats_mw_test stats_one_way_anova stats_t_test_ stats_t_test_indep stats_t_test_one stats_t_test_paired stats_wsr_test status std stddev stddev_pop stddev_samp stdev stop storage store stored str str_to_date straight_join strcmp strict string struct stuff style subdate subpartition subpartitions substitutable substr substring subtime subtring_index subtype success sum suspend switch switchoffset switchover sync synchronous synonym sys sys_xmlagg sysasm sysaux sysdate sysdatetimeoffset sysdba sysoper system system_user sysutcdatetime table tables tablespace tan tdo template temporary terminated tertiary_weights test than then thread through tier ties time time_format time_zone timediff timefromparts timeout timestamp timestampadd timestampdiff timezone_abbr timezone_minute timezone_region to to_base64 to_date to_days to_seconds todatetimeoffset trace tracking transaction transactional translate translation treat trigger trigger_nestlevel triggers trim truncate try_cast try_convert try_parse type ub1 ub2 ub4 ucase unarchived unbounded uncompress under undo unhex unicode uniform uninstall union unique unix_timestamp unknown unlimited unlock unpivot unrecoverable unsafe unsigned until untrusted unusable unused update updated upgrade upped upper upsert url urowid usable usage use use_stored_outlines user user_data user_resources users using utc_date utc_timestamp uuid uuid_short validate validate_password_strength validation valist value values var var_samp varcharc vari varia variab variabl variable variables variance varp varraw varrawc varray verify version versions view virtual visible void wait wallet warning warnings week weekday weekofyear wellformed when whene whenev wheneve whenever where while whitespace with within without work wrapped xdb xml xmlagg xmlattributes xmlcast xmlcolattval xmlelement xmlexists xmlforest xmlindex xmlnamespaces xmlpi xmlquery xmlroot xmlschema xmlserialize xmltable xmltype xor year year_to_month years yearweek",literal:"true false null",built_in:"array bigint binary bit blob boolean char character date dec decimal float int int8 integer interval number numeric real record serial serial8 smallint text varchar varying void"},c:[{cN:"string",b:"'",e:"'",c:[e.BE,{b:"''"}]},{cN:"string",b:'"',e:'"',c:[e.BE,{b:'""'}]},{cN:"string",b:"`",e:"`",c:[e.BE]},e.CNM,e.CBCM,t]},e.CBCM,t]}});hljs.registerLanguage("r",function(e){var r="([a-zA-Z]|\\.[a-zA-Z.])[a-zA-Z0-9._]*";return{c:[e.HCM,{b:r,l:r,k:{keyword:"function if in break next repeat else for return switch while try tryCatch stop warning require library attach detach source setMethod setGeneric setGroupGeneric setClass ...",literal:"NULL NA TRUE FALSE T F Inf NaN NA_integer_|10 NA_real_|10 NA_character_|10 NA_complex_|10"},r:0},{cN:"number",b:"0[xX][0-9a-fA-F]+[Li]?\\b",r:0},{cN:"number",b:"\\d+(?:[eE][+\\-]?\\d*)?L\\b",r:0},{cN:"number",b:"\\d+\\.(?!\\d)(?:i\\b)?",r:0},{cN:"number",b:"\\d+(?:\\.\\d*)?(?:[eE][+\\-]?\\d*)?i?\\b",r:0},{cN:"number",b:"\\.\\d+(?:[eE][+\\-]?\\d*)?i?\\b",r:0},{b:"`",e:"`",r:0},{cN:"string",c:[e.BE],v:[{b:'"',e:'"'},{b:"'",e:"'"}]}]}});hljs.registerLanguage("perl",function(e){var t="getpwent getservent quotemeta msgrcv scalar kill dbmclose undef lc ma syswrite tr send umask sysopen shmwrite vec qx utime local oct semctl localtime readpipe do return format read sprintf dbmopen pop getpgrp not getpwnam rewinddir qqfileno qw endprotoent wait sethostent bless s|0 opendir continue each sleep endgrent shutdown dump chomp connect getsockname die socketpair close flock exists index shmgetsub for endpwent redo lstat msgctl setpgrp abs exit select print ref gethostbyaddr unshift fcntl syscall goto getnetbyaddr join gmtime symlink semget splice x|0 getpeername recv log setsockopt cos last reverse gethostbyname getgrnam study formline endhostent times chop length gethostent getnetent pack getprotoent getservbyname rand mkdir pos chmod y|0 substr endnetent printf next open msgsnd readdir use unlink getsockopt getpriority rindex wantarray hex system getservbyport endservent int chr untie rmdir prototype tell listen fork shmread ucfirst setprotoent else sysseek link getgrgid shmctl waitpid unpack getnetbyname reset chdir grep split require caller lcfirst until warn while values shift telldir getpwuid my getprotobynumber delete and sort uc defined srand accept package seekdir getprotobyname semop our rename seek if q|0 chroot sysread setpwent no crypt getc chown sqrt write setnetent setpriority foreach tie sin msgget map stat getlogin unless elsif truncate exec keys glob tied closedirioctl socket readlink eval xor readline binmode setservent eof ord bind alarm pipe atan2 getgrent exp time push setgrent gt lt or ne m|0 break given say state when",r={cN:"subst",b:"[$@]\\{",e:"\\}",k:t},s={b:"->{",e:"}"},n={v:[{b:/\$\d/},{b:/[\$%@](\^\w\b|#\w+(::\w+)*|{\w+}|\w+(::\w*)*)/},{b:/[\$%@][^\s\w{]/,r:0}]},i=[e.BE,r,n],o=[n,e.HCM,e.C("^\\=\\w","\\=cut",{eW:!0}),s,{cN:"string",c:i,v:[{b:"q[qwxr]?\\s*\\(",e:"\\)",r:5},{b:"q[qwxr]?\\s*\\[",e:"\\]",r:5},{b:"q[qwxr]?\\s*\\{",e:"\\}",r:5},{b:"q[qwxr]?\\s*\\|",e:"\\|",r:5},{b:"q[qwxr]?\\s*\\<",e:"\\>",r:5},{b:"qw\\s+q",e:"q",r:5},{b:"'",e:"'",c:[e.BE]},{b:'"',e:'"'},{b:"`",e:"`",c:[e.BE]},{b:"{\\w+}",c:[],r:0},{b:"-?\\w+\\s*\\=\\>",c:[],r:0}]},{cN:"number",b:"(\\b0[0-7_]+)|(\\b0x[0-9a-fA-F_]+)|(\\b[1-9][0-9_]*(\\.[0-9_]+)?)|[0_]\\b",r:0},{b:"(\\/\\/|"+e.RSR+"|\\b(split|return|print|reverse|grep)\\b)\\s*",k:"split return print reverse grep",r:0,c:[e.HCM,{cN:"regexp",b:"(s|tr|y)/(\\\\.|[^/])*/(\\\\.|[^/])*/[a-z]*",r:10},{cN:"regexp",b:"(m|qr)?/",e:"/[a-z]*",c:[e.BE],r:0}]},{cN:"function",bK:"sub",e:"(\\s*\\(.*?\\))?[;{]",eE:!0,r:5,c:[e.TM]},{b:"-\\w\\b",r:0},{b:"^__DATA__$",e:"^__END__$",sL:"mojolicious",c:[{b:"^@@.*",e:"$",cN:"comment"}]}];return r.c=o,s.c=o,{aliases:["pl","pm"],l:/[\w\.]+/,k:t,c:o}});hljs.registerLanguage("ini",function(e){var b={cN:"string",c:[e.BE],v:[{b:"'''",e:"'''",r:10},{b:'"""',e:'"""',r:10},{b:'"',e:'"'},{b:"'",e:"'"}]};return{aliases:["toml"],cI:!0,i:/\S/,c:[e.C(";","$"),e.HCM,{cN:"section",b:/^\s*\[+/,e:/\]+/},{b:/^[a-z0-9\[\]_-]+\s*=\s*/,e:"$",rB:!0,c:[{cN:"attr",b:/[a-z0-9\[\]_-]+/},{b:/=/,eW:!0,r:0,c:[{cN:"literal",b:/\bon|off|true|false|yes|no\b/},{cN:"variable",v:[{b:/\$[\w\d"][\w\d_]*/},{b:/\$\{(.*?)}/}]},b,{cN:"number",b:/([\+\-]+)?[\d]+_[\d_]+/},e.NM]}]}]}});hljs.registerLanguage("diff",function(e){return{aliases:["patch"],c:[{cN:"meta",r:10,v:[{b:/^@@ +\-\d+,\d+ +\+\d+,\d+ +@@$/},{b:/^\*\*\* +\d+,\d+ +\*\*\*\*$/},{b:/^\-\-\- +\d+,\d+ +\-\-\-\-$/}]},{cN:"comment",v:[{b:/Index: /,e:/$/},{b:/={3,}/,e:/$/},{b:/^\-{3}/,e:/$/},{b:/^\*{3} /,e:/$/},{b:/^\+{3}/,e:/$/},{b:/\*{5}/,e:/\*{5}$/}]},{cN:"addition",b:"^\\+",e:"$"},{cN:"deletion",b:"^\\-",e:"$"},{cN:"addition",b:"^\\!",e:"$"}]}});hljs.registerLanguage("go",function(e){var t={keyword:"break default func interface select case map struct chan else goto package switch const fallthrough if range type continue for import return var go defer bool byte complex64 complex128 float32 float64 int8 int16 int32 int64 string uint8 uint16 uint32 uint64 int uint uintptr rune",literal:"true false iota nil",built_in:"append cap close complex copy imag len make new panic print println real recover delete"};return{aliases:["golang"],k:t,i:"</",c:[e.CLCM,e.CBCM,{cN:"string",v:[e.QSM,{b:"'",e:"[^\\\\]'"},{b:"`",e:"`"}]},{cN:"number",v:[{b:e.CNR+"[dflsi]",r:1},e.CNM]},{b:/:=/},{cN:"function",bK:"func",e:/\s*\{/,eE:!0,c:[e.TM,{cN:"params",b:/\(/,e:/\)/,k:t,i:/["']/}]}]}});hljs.registerLanguage("bash",function(e){var t={cN:"variable",v:[{b:/\$[\w\d#@][\w\d_]*/},{b:/\$\{(.*?)}/}]},s={cN:"string",b:/"/,e:/"/,c:[e.BE,t,{cN:"variable",b:/\$\(/,e:/\)/,c:[e.BE]}]},a={cN:"string",b:/'/,e:/'/};return{aliases:["sh","zsh"],l:/\b-?[a-z\._]+\b/,k:{keyword:"if then else elif fi for while in do done case esac function",literal:"true false",built_in:"break cd continue eval exec exit export getopts hash pwd readonly return shift test times trap umask unset alias bind builtin caller command declare echo enable help let local logout mapfile printf read readarray source type typeset ulimit unalias set shopt autoload bg bindkey bye cap chdir clone comparguments compcall compctl compdescribe compfiles compgroups compquote comptags comptry compvalues dirs disable disown echotc echoti emulate fc fg float functions getcap getln history integer jobs kill limit log noglob popd print pushd pushln rehash sched setcap setopt stat suspend ttyctl unfunction unhash unlimit unsetopt vared wait whence where which zcompile zformat zftp zle zmodload zparseopts zprof zpty zregexparse zsocket zstyle ztcp",_:"-ne -eq -lt -gt -f -d -e -s -l -a"},c:[{cN:"meta",b:/^#![^\n]+sh\s*$/,r:10},{cN:"function",b:/\w[\w\d_]*\s*\(\s*\)\s*\{/,rB:!0,c:[e.inherit(e.TM,{b:/\w[\w\d_]*/})],r:0},e.HCM,s,a,t]}});hljs.registerLanguage("python",function(e){var r={keyword:"and elif is global as in if from raise for except finally print import pass return exec else break not with class assert yield try while continue del or def lambda async await nonlocal|10 None True False",built_in:"Ellipsis NotImplemented"},b={cN:"meta",b:/^(>>>|\.\.\.) /},c={cN:"subst",b:/\{/,e:/\}/,k:r,i:/#/},a={cN:"string",c:[e.BE],v:[{b:/(u|b)?r?'''/,e:/'''/,c:[b],r:10},{b:/(u|b)?r?"""/,e:/"""/,c:[b],r:10},{b:/(fr|rf|f)'''/,e:/'''/,c:[b,c]},{b:/(fr|rf|f)"""/,e:/"""/,c:[b,c]},{b:/(u|r|ur)'/,e:/'/,r:10},{b:/(u|r|ur)"/,e:/"/,r:10},{b:/(b|br)'/,e:/'/},{b:/(b|br)"/,e:/"/},{b:/(fr|rf|f)'/,e:/'/,c:[c]},{b:/(fr|rf|f)"/,e:/"/,c:[c]},e.ASM,e.QSM]},s={cN:"number",r:0,v:[{b:e.BNR+"[lLjJ]?"},{b:"\\b(0o[0-7]+)[lLjJ]?"},{b:e.CNR+"[lLjJ]?"}]},i={cN:"params",b:/\(/,e:/\)/,c:["self",b,s,a]};return c.c=[a,s,b],{aliases:["py","gyp"],k:r,i:/(<\/|->|\?)|=>/,c:[b,s,a,e.HCM,{v:[{cN:"function",bK:"def"},{cN:"class",bK:"class"}],e:/:/,i:/[${=;\n,]/,c:[e.UTM,i,{b:/->/,eW:!0,k:"None"}]},{cN:"meta",b:/^[\t ]*@/,e:/$/},{b:/\b(print|exec)\(/}]}});hljs.registerLanguage("julia",function(e){var r={keyword:"in isa where baremodule begin break catch ccall const continue do else elseif end export false finally for function global if import importall let local macro module quote return true try using while type immutable abstract bitstype typealias ",literal:"true false ARGS C_NULL DevNull ENDIAN_BOM ENV I Inf Inf16 Inf32 Inf64 InsertionSort JULIA_HOME LOAD_PATH MergeSort NaN NaN16 NaN32 NaN64 PROGRAM_FILE QuickSort RoundDown RoundFromZero RoundNearest RoundNearestTiesAway RoundNearestTiesUp RoundToZero RoundUp STDERR STDIN STDOUT VERSION catalan e|0 eu|0 eulergamma golden im nothing pi γ π φ ",built_in:"ANY AbstractArray AbstractChannel AbstractFloat AbstractMatrix AbstractRNG AbstractSerializer AbstractSet AbstractSparseArray AbstractSparseMatrix AbstractSparseVector AbstractString AbstractUnitRange AbstractVecOrMat AbstractVector Any ArgumentError Array AssertionError Associative Base64DecodePipe Base64EncodePipe Bidiagonal BigFloat BigInt BitArray BitMatrix BitVector Bool BoundsError BufferStream CachingPool CapturedException CartesianIndex CartesianRange Cchar Cdouble Cfloat Channel Char Cint Cintmax_t Clong Clonglong ClusterManager Cmd CodeInfo Colon Complex Complex128 Complex32 Complex64 CompositeException Condition ConjArray ConjMatrix ConjVector Cptrdiff_t Cshort Csize_t Cssize_t Cstring Cuchar Cuint Cuintmax_t Culong Culonglong Cushort Cwchar_t Cwstring DataType Date DateFormat DateTime DenseArray DenseMatrix DenseVecOrMat DenseVector Diagonal Dict DimensionMismatch Dims DirectIndexString Display DivideError DomainError EOFError EachLine Enum Enumerate ErrorException Exception ExponentialBackOff Expr Factorization FileMonitor Float16 Float32 Float64 Function Future GlobalRef GotoNode HTML Hermitian IO IOBuffer IOContext IOStream IPAddr IPv4 IPv6 IndexCartesian IndexLinear IndexStyle InexactError InitError Int Int128 Int16 Int32 Int64 Int8 IntSet Integer InterruptException InvalidStateException Irrational KeyError LabelNode LinSpace LineNumberNode LoadError LowerTriangular MIME Matrix MersenneTwister Method MethodError MethodTable Module NTuple NewvarNode NullException Nullable Number ObjectIdDict OrdinalRange OutOfMemoryError OverflowError Pair ParseError PartialQuickSort PermutedDimsArray Pipe PollingFileWatcher ProcessExitedException Ptr QuoteNode RandomDevice Range RangeIndex Rational RawFD ReadOnlyMemoryError Real ReentrantLock Ref Regex RegexMatch RemoteChannel RemoteException RevString RoundingMode RowVector SSAValue SegmentationFault SerializationState Set SharedArray SharedMatrix SharedVector Signed SimpleVector Slot SlotNumber SparseMatrixCSC SparseVector StackFrame StackOverflowError StackTrace StepRange StepRangeLen StridedArray StridedMatrix StridedVecOrMat StridedVector String SubArray SubString SymTridiagonal Symbol Symmetric SystemError TCPSocket Task Text TextDisplay Timer Tridiagonal Tuple Type TypeError TypeMapEntry TypeMapLevel TypeName TypeVar TypedSlot UDPSocket UInt UInt128 UInt16 UInt32 UInt64 UInt8 UndefRefError UndefVarError UnicodeError UniformScaling Union UnionAll UnitRange Unsigned UpperTriangular Val Vararg VecElement VecOrMat Vector VersionNumber Void WeakKeyDict WeakRef WorkerConfig WorkerPool "},t="[A-Za-z_\\u00A1-\\uFFFF][A-Za-z_0-9\\u00A1-\\uFFFF]*",a={l:t,k:r,i:/<\//},n={cN:"number",b:/(\b0x[\d_]*(\.[\d_]*)?|0x\.\d[\d_]*)p[-+]?\d+|\b0[box][a-fA-F0-9][a-fA-F0-9_]*|(\b\d[\d_]*(\.[\d_]*)?|\.\d[\d_]*)([eEfF][-+]?\d+)?/,r:0},o={cN:"string",b:/'(.|\\[xXuU][a-zA-Z0-9]+)'/},i={cN:"subst",b:/\$\(/,e:/\)/,k:r},l={cN:"variable",b:"\\$"+t},c={cN:"string",c:[e.BE,i,l],v:[{b:/\w*"""/,e:/"""\w*/,r:10},{b:/\w*"/,e:/"\w*/}]},s={cN:"string",c:[e.BE,i,l],b:"`",e:"`"},d={cN:"meta",b:"@"+t},u={cN:"comment",v:[{b:"#=",e:"=#",r:10},{b:"#",e:"$"}]};return a.c=[n,o,c,s,d,u,e.HCM,{cN:"keyword",b:"\\b(((abstract|primitive)\\s+)type|(mutable\\s+)?struct)\\b"},{b:/<:/}],i.c=a.c,a});hljs.registerLanguage("coffeescript",function(e){var c={keyword:"in if for while finally new do return else break catch instanceof throw try this switch continue typeof delete debugger super yield import export from as default await then unless until loop of by when and or is isnt not",literal:"true false null undefined yes no on off",built_in:"npm require console print module global window document"},n="[A-Za-z$_][0-9A-Za-z$_]*",r={cN:"subst",b:/#\{/,e:/}/,k:c},i=[e.BNM,e.inherit(e.CNM,{starts:{e:"(\\s*/)?",r:0}}),{cN:"string",v:[{b:/'''/,e:/'''/,c:[e.BE]},{b:/'/,e:/'/,c:[e.BE]},{b:/"""/,e:/"""/,c:[e.BE,r]},{b:/"/,e:/"/,c:[e.BE,r]}]},{cN:"regexp",v:[{b:"///",e:"///",c:[r,e.HCM]},{b:"//[gim]*",r:0},{b:/\/(?![ *])(\\\/|.)*?\/[gim]*(?=\W|$)/}]},{b:"@"+n},{sL:"javascript",eB:!0,eE:!0,v:[{b:"```",e:"```"},{b:"`",e:"`"}]}];r.c=i;var s=e.inherit(e.TM,{b:n}),t="(\\(.*\\))?\\s*\\B[-=]>",o={cN:"params",b:"\\([^\\(]",rB:!0,c:[{b:/\(/,e:/\)/,k:c,c:["self"].concat(i)}]};return{aliases:["coffee","cson","iced"],k:c,i:/\/\*/,c:i.concat([e.C("###","###"),e.HCM,{cN:"function",b:"^\\s*"+n+"\\s*=\\s*"+t,e:"[-=]>",rB:!0,c:[s,o]},{b:/[:\(,=]\s*/,r:0,c:[{cN:"function",b:t,e:"[-=]>",rB:!0,c:[o]}]},{cN:"class",bK:"class",e:"$",i:/[:="\[\]]/,c:[{bK:"extends",eW:!0,i:/[:="\[\]]/,c:[s]},s]},{b:n+":",e:":",rB:!0,rE:!0,r:0}])}});hljs.registerLanguage("cpp",function(t){var e={cN:"keyword",b:"\\b[a-z\\d_]*_t\\b"},r={cN:"string",v:[{b:'(u8?|U)?L?"',e:'"',i:"\\n",c:[t.BE]},{b:'(u8?|U)?R"',e:'"',c:[t.BE]},{b:"'\\\\?.",e:"'",i:"."}]},s={cN:"number",v:[{b:"\\b(0b[01']+)"},{b:"(-?)\\b([\\d']+(\\.[\\d']*)?|\\.[\\d']+)(u|U|l|L|ul|UL|f|F|b|B)"},{b:"(-?)(\\b0[xX][a-fA-F0-9']+|(\\b[\\d']+(\\.[\\d']*)?|\\.[\\d']+)([eE][-+]?[\\d']+)?)"}],r:0},i={cN:"meta",b:/#\s*[a-z]+\b/,e:/$/,k:{"meta-keyword":"if else elif endif define undef warning error line pragma ifdef ifndef include"},c:[{b:/\\\n/,r:0},t.inherit(r,{cN:"meta-string"}),{cN:"meta-string",b:/<[^\n>]*>/,e:/$/,i:"\\n"},t.CLCM,t.CBCM]},a=t.IR+"\\s*\\(",c={keyword:"int float while private char catch import module export virtual operator sizeof dynamic_cast|10 typedef const_cast|10 const for static_cast|10 union namespace unsigned long volatile static protected bool template mutable if public friend do goto auto void enum else break extern using asm case typeid short reinterpret_cast|10 default double register explicit signed typename try this switch continue inline delete alignof constexpr decltype noexcept static_assert thread_local restrict _Bool complex _Complex _Imaginary atomic_bool atomic_char atomic_schar atomic_uchar atomic_short atomic_ushort atomic_int atomic_uint atomic_long atomic_ulong atomic_llong atomic_ullong new throw return and or not",built_in:"std string cin cout cerr clog stdin stdout stderr stringstream istringstream ostringstream auto_ptr deque list queue stack vector map set bitset multiset multimap unordered_set unordered_map unordered_multiset unordered_multimap array shared_ptr abort abs acos asin atan2 atan calloc ceil cosh cos exit exp fabs floor fmod fprintf fputs free frexp fscanf isalnum isalpha iscntrl isdigit isgraph islower isprint ispunct isspace isupper isxdigit tolower toupper labs ldexp log10 log malloc realloc memchr memcmp memcpy memset modf pow printf putchar puts scanf sinh sin snprintf sprintf sqrt sscanf strcat strchr strcmp strcpy strcspn strlen strncat strncmp strncpy strpbrk strrchr strspn strstr tanh tan vfprintf vprintf vsprintf endl initializer_list unique_ptr",literal:"true false nullptr NULL"},n=[e,t.CLCM,t.CBCM,s,r];return{aliases:["c","cc","h","c++","h++","hpp"],k:c,i:"</",c:n.concat([i,{b:"\\b(deque|list|queue|stack|vector|map|set|bitset|multiset|multimap|unordered_map|unordered_set|unordered_multiset|unordered_multimap|array)\\s*<",e:">",k:c,c:["self",e]},{b:t.IR+"::",k:c},{v:[{b:/=/,e:/;/},{b:/\(/,e:/\)/},{bK:"new throw return else",e:/;/}],k:c,c:n.concat([{b:/\(/,e:/\)/,k:c,c:n.concat(["self"]),r:0}]),r:0},{cN:"function",b:"("+t.IR+"[\\*&\\s]+)+"+a,rB:!0,e:/[{;=]/,eE:!0,k:c,i:/[^\w\s\*&]/,c:[{b:a,rB:!0,c:[t.TM],r:0},{cN:"params",b:/\(/,e:/\)/,k:c,r:0,c:[t.CLCM,t.CBCM,r,s,e]},t.CLCM,t.CBCM,i]},{cN:"class",bK:"class struct",e:/[{;:]/,c:[{b:/</,e:/>/,c:["self"]},t.TM]}]),exports:{preprocessor:i,strings:r,k:c}}});hljs.registerLanguage("ruby",function(e){var b="[a-zA-Z_]\\w*[!?=]?|[-+~]\\@|<<|>>|=~|===?|<=>|[<>]=?|\\*\\*|[-/+%^&*~`|]|\\[\\]=?",r={keyword:"and then defined module in return redo if BEGIN retry end for self when next until do begin unless END rescue else break undef not super class case require yield alias while ensure elsif or include attr_reader attr_writer attr_accessor",literal:"true false nil"},c={cN:"doctag",b:"@[A-Za-z]+"},a={b:"#<",e:">"},s=[e.C("#","$",{c:[c]}),e.C("^\\=begin","^\\=end",{c:[c],r:10}),e.C("^__END__","\\n$")],n={cN:"subst",b:"#\\{",e:"}",k:r},t={cN:"string",c:[e.BE,n],v:[{b:/'/,e:/'/},{b:/"/,e:/"/},{b:/`/,e:/`/},{b:"%[qQwWx]?\\(",e:"\\)"},{b:"%[qQwWx]?\\[",e:"\\]"},{b:"%[qQwWx]?{",e:"}"},{b:"%[qQwWx]?<",e:">"},{b:"%[qQwWx]?/",e:"/"},{b:"%[qQwWx]?%",e:"%"},{b:"%[qQwWx]?-",e:"-"},{b:"%[qQwWx]?\\|",e:"\\|"},{b:/\B\?(\\\d{1,3}|\\x[A-Fa-f0-9]{1,2}|\\u[A-Fa-f0-9]{4}|\\?\S)\b/},{b:/<<(-?)\w+$/,e:/^\s*\w+$/}]},i={cN:"params",b:"\\(",e:"\\)",endsParent:!0,k:r},d=[t,a,{cN:"class",bK:"class module",e:"$|;",i:/=/,c:[e.inherit(e.TM,{b:"[A-Za-z_]\\w*(::\\w+)*(\\?|\\!)?"}),{b:"<\\s*",c:[{b:"("+e.IR+"::)?"+e.IR}]}].concat(s)},{cN:"function",bK:"def",e:"$|;",c:[e.inherit(e.TM,{b:b}),i].concat(s)},{b:e.IR+"::"},{cN:"symbol",b:e.UIR+"(\\!|\\?)?:",r:0},{cN:"symbol",b:":(?!\\s)",c:[t,{b:b}],r:0},{cN:"number",b:"(\\b0[0-7_]+)|(\\b0x[0-9a-fA-F_]+)|(\\b[1-9][0-9_]*(\\.[0-9_]+)?)|[0_]\\b",r:0},{b:"(\\$\\W)|((\\$|\\@\\@?)(\\w+))"},{cN:"params",b:/\|/,e:/\|/,k:r},{b:"("+e.RSR+"|unless)\\s*",k:"unless",c:[a,{cN:"regexp",c:[e.BE,n],i:/\n/,v:[{b:"/",e:"/[a-z]*"},{b:"%r{",e:"}[a-z]*"},{b:"%r\\(",e:"\\)[a-z]*"},{b:"%r!",e:"![a-z]*"},{b:"%r\\[",e:"\\][a-z]*"}]}].concat(s),r:0}].concat(s);n.c=d,i.c=d;var l="[>?]>",o="[\\w#]+\\(\\w+\\):\\d+:\\d+>",u="(\\w+-)?\\d+\\.\\d+\\.\\d(p\\d+)?[^>]+>",w=[{b:/^\s*=>/,starts:{e:"$",c:d}},{cN:"meta",b:"^("+l+"|"+o+"|"+u+")",starts:{e:"$",c:d}}];return{aliases:["rb","gemspec","podspec","thor","irb"],k:r,i:/\/\*/,c:s.concat(w).concat(d)}});hljs.registerLanguage("yaml",function(e){var b="true false yes no null",a="^[ \\-]*",r="[a-zA-Z_][\\w\\-]*",t={cN:"attr",v:[{b:a+r+":"},{b:a+'"'+r+'":'},{b:a+"'"+r+"':"}]},c={cN:"template-variable",v:[{b:"{{",e:"}}"},{b:"%{",e:"}"}]},l={cN:"string",r:0,v:[{b:/'/,e:/'/},{b:/"/,e:/"/},{b:/\S+/}],c:[e.BE,c]};return{cI:!0,aliases:["yml","YAML","yaml"],c:[t,{cN:"meta",b:"^---s*$",r:10},{cN:"string",b:"[\\|>] *$",rE:!0,c:l.c,e:t.v[0].b},{b:"<%[%=-]?",e:"[%-]?%>",sL:"ruby",eB:!0,eE:!0,r:0},{cN:"type",b:"!!"+e.UIR},{cN:"meta",b:"&"+e.UIR+"$"},{cN:"meta",b:"\\*"+e.UIR+"$"},{cN:"bullet",b:"^ *-",r:0},e.HCM,{bK:b,k:{literal:b}},e.CNM,l]}});hljs.registerLanguage("css",function(e){var c="[a-zA-Z-][a-zA-Z0-9_-]*",t={b:/[A-Z\_\.\-]+\s*:/,rB:!0,e:";",eW:!0,c:[{cN:"attribute",b:/\S/,e:":",eE:!0,starts:{eW:!0,eE:!0,c:[{b:/[\w-]+\(/,rB:!0,c:[{cN:"built_in",b:/[\w-]+/},{b:/\(/,e:/\)/,c:[e.ASM,e.QSM]}]},e.CSSNM,e.QSM,e.ASM,e.CBCM,{cN:"number",b:"#[0-9A-Fa-f]+"},{cN:"meta",b:"!important"}]}}]};return{cI:!0,i:/[=\/|'\$]/,c:[e.CBCM,{cN:"selector-id",b:/#[A-Za-z0-9_-]+/},{cN:"selector-class",b:/\.[A-Za-z0-9_-]+/},{cN:"selector-attr",b:/\[/,e:/\]/,i:"$"},{cN:"selector-pseudo",b:/:(:)?[a-zA-Z0-9\_\-\+\(\)"'.]+/},{b:"@(font-face|page)",l:"[a-z-]+",k:"font-face page"},{b:"@",e:"[{;]",i:/:/,c:[{cN:"keyword",b:/\w+/},{b:/\s/,eW:!0,eE:!0,r:0,c:[e.ASM,e.QSM,e.CSSNM]}]},{cN:"selector-tag",b:c,r:0},{b:"{",e:"}",i:/\S/,c:[e.CBCM,t]}]}});hljs.registerLanguage("fortran",function(e){var t={cN:"params",b:"\\(",e:"\\)"},n={literal:".False. .True.",keyword:"kind do while private call intrinsic where elsewhere type endtype endmodule endselect endinterface end enddo endif if forall endforall only contains default return stop then public subroutine|10 function program .and. .or. .not. .le. .eq. .ge. .gt. .lt. goto save else use module select case access blank direct exist file fmt form formatted iostat name named nextrec number opened rec recl sequential status unformatted unit continue format pause cycle exit c_null_char c_alert c_backspace c_form_feed flush wait decimal round iomsg synchronous nopass non_overridable pass protected volatile abstract extends import non_intrinsic value deferred generic final enumerator class associate bind enum c_int c_short c_long c_long_long c_signed_char c_size_t c_int8_t c_int16_t c_int32_t c_int64_t c_int_least8_t c_int_least16_t c_int_least32_t c_int_least64_t c_int_fast8_t c_int_fast16_t c_int_fast32_t c_int_fast64_t c_intmax_t C_intptr_t c_float c_double c_long_double c_float_complex c_double_complex c_long_double_complex c_bool c_char c_null_ptr c_null_funptr c_new_line c_carriage_return c_horizontal_tab c_vertical_tab iso_c_binding c_loc c_funloc c_associated  c_f_pointer c_ptr c_funptr iso_fortran_env character_storage_size error_unit file_storage_size input_unit iostat_end iostat_eor numeric_storage_size output_unit c_f_procpointer ieee_arithmetic ieee_support_underflow_control ieee_get_underflow_mode ieee_set_underflow_mode newunit contiguous recursive pad position action delim readwrite eor advance nml interface procedure namelist include sequence elemental pure integer real character complex logical dimension allocatable|10 parameter external implicit|10 none double precision assign intent optional pointer target in out common equivalence data",built_in:"alog alog10 amax0 amax1 amin0 amin1 amod cabs ccos cexp clog csin csqrt dabs dacos dasin datan datan2 dcos dcosh ddim dexp dint dlog dlog10 dmax1 dmin1 dmod dnint dsign dsin dsinh dsqrt dtan dtanh float iabs idim idint idnint ifix isign max0 max1 min0 min1 sngl algama cdabs cdcos cdexp cdlog cdsin cdsqrt cqabs cqcos cqexp cqlog cqsin cqsqrt dcmplx dconjg derf derfc dfloat dgamma dimag dlgama iqint qabs qacos qasin qatan qatan2 qcmplx qconjg qcos qcosh qdim qerf qerfc qexp qgamma qimag qlgama qlog qlog10 qmax1 qmin1 qmod qnint qsign qsin qsinh qsqrt qtan qtanh abs acos aimag aint anint asin atan atan2 char cmplx conjg cos cosh exp ichar index int log log10 max min nint sign sin sinh sqrt tan tanh print write dim lge lgt lle llt mod nullify allocate deallocate adjustl adjustr all allocated any associated bit_size btest ceiling count cshift date_and_time digits dot_product eoshift epsilon exponent floor fraction huge iand ibclr ibits ibset ieor ior ishft ishftc lbound len_trim matmul maxexponent maxloc maxval merge minexponent minloc minval modulo mvbits nearest pack present product radix random_number random_seed range repeat reshape rrspacing scale scan selected_int_kind selected_real_kind set_exponent shape size spacing spread sum system_clock tiny transpose trim ubound unpack verify achar iachar transfer dble entry dprod cpu_time command_argument_count get_command get_command_argument get_environment_variable is_iostat_end ieee_arithmetic ieee_support_underflow_control ieee_get_underflow_mode ieee_set_underflow_mode is_iostat_eor move_alloc new_line selected_char_kind same_type_as extends_type_ofacosh asinh atanh bessel_j0 bessel_j1 bessel_jn bessel_y0 bessel_y1 bessel_yn erf erfc erfc_scaled gamma log_gamma hypot norm2 atomic_define atomic_ref execute_command_line leadz trailz storage_size merge_bits bge bgt ble blt dshiftl dshiftr findloc iall iany iparity image_index lcobound ucobound maskl maskr num_images parity popcnt poppar shifta shiftl shiftr this_image"};return{cI:!0,aliases:["f90","f95"],k:n,i:/\/\*/,c:[e.inherit(e.ASM,{cN:"string",r:0}),e.inherit(e.QSM,{cN:"string",r:0}),{cN:"function",bK:"subroutine function program",i:"[${=\\n]",c:[e.UTM,t]},e.C("!","$",{r:0}),{cN:"number",b:"(?=\\b|\\+|\\-|\\.)(?=\\.\\d|\\d)(?:\\d+)?(?:\\.?\\d*)(?:[de][+-]?\\d+)?\\b\\.?",r:0}]}});hljs.registerLanguage("awk",function(e){var r={cN:"variable",v:[{b:/\$[\w\d#@][\w\d_]*/},{b:/\$\{(.*?)}/}]},b="BEGIN END if else while do for in break continue delete next nextfile function func exit|10",n={cN:"string",c:[e.BE],v:[{b:/(u|b)?r?'''/,e:/'''/,r:10},{b:/(u|b)?r?"""/,e:/"""/,r:10},{b:/(u|r|ur)'/,e:/'/,r:10},{b:/(u|r|ur)"/,e:/"/,r:10},{b:/(b|br)'/,e:/'/},{b:/(b|br)"/,e:/"/},e.ASM,e.QSM]};return{k:{keyword:b},c:[r,n,e.RM,e.HCM,e.NM]}});hljs.registerLanguage("makefile",function(e){var i={cN:"variable",v:[{b:"\\$\\("+e.UIR+"\\)",c:[e.BE]},{b:/\$[@%<?\^\+\*]/}]},r={cN:"string",b:/"/,e:/"/,c:[e.BE,i]},a={cN:"variable",b:/\$\([\w-]+\s/,e:/\)/,k:{built_in:"subst patsubst strip findstring filter filter-out sort word wordlist firstword lastword dir notdir suffix basename addsuffix addprefix join wildcard realpath abspath error warning shell origin flavor foreach if or and call eval file value"},c:[i]},n={b:"^"+e.UIR+"\\s*[:+?]?=",i:"\\n",rB:!0,c:[{b:"^"+e.UIR,e:"[:+?]?=",eE:!0}]},t={cN:"meta",b:/^\.PHONY:/,e:/$/,k:{"meta-keyword":".PHONY"},l:/[\.\w]+/},l={cN:"section",b:/^[^\s]+:/,e:/$/,c:[i]};return{aliases:["mk","mak"],k:"define endef undefine ifdef ifndef ifeq ifneq else endif include -include sinclude override export unexport private vpath",l:/[\w-]+/,c:[e.HCM,i,r,a,n,t,l]}});hljs.registerLanguage("java",function(e){var a="[À-ʸa-zA-Z_$][À-ʸa-zA-Z_$0-9]*",t=a+"(<"+a+"(\\s*,\\s*"+a+")*>)?",r="false synchronized int abstract float private char boolean static null if const for true while long strictfp finally protected import native final void enum else break transient catch instanceof byte super volatile case assert short package default double public try this switch continue throws protected public private module requires exports do",s="\\b(0[bB]([01]+[01_]+[01]+|[01]+)|0[xX]([a-fA-F0-9]+[a-fA-F0-9_]+[a-fA-F0-9]+|[a-fA-F0-9]+)|(([\\d]+[\\d_]+[\\d]+|[\\d]+)(\\.([\\d]+[\\d_]+[\\d]+|[\\d]+))?|\\.([\\d]+[\\d_]+[\\d]+|[\\d]+))([eE][-+]?\\d+)?)[lLfF]?",c={cN:"number",b:s,r:0};return{aliases:["jsp"],k:r,i:/<\/|#/,c:[e.C("/\\*\\*","\\*/",{r:0,c:[{b:/\w+@/,r:0},{cN:"doctag",b:"@[A-Za-z]+"}]}),e.CLCM,e.CBCM,e.ASM,e.QSM,{cN:"class",bK:"class interface",e:/[{;=]/,eE:!0,k:"class interface",i:/[:"\[\]]/,c:[{bK:"extends implements"},e.UTM]},{bK:"new throw return else",r:0},{cN:"function",b:"("+t+"\\s+)+"+e.UIR+"\\s*\\(",rB:!0,e:/[{;=]/,eE:!0,k:r,c:[{b:e.UIR+"\\s*\\(",rB:!0,r:0,c:[e.UTM]},{cN:"params",b:/\(/,e:/\)/,k:r,r:0,c:[e.ASM,e.QSM,e.CNM,e.CBCM]},e.CLCM,e.CBCM]},c,{cN:"meta",b:"@[A-Za-z]+"}]}});hljs.registerLanguage("stan",function(e){return{c:[e.HCM,e.CLCM,e.CBCM,{b:e.UIR,l:e.UIR,k:{name:"for in while repeat until if then else",symbol:"bernoulli bernoulli_logit binomial binomial_logit beta_binomial hypergeometric categorical categorical_logit ordered_logistic neg_binomial neg_binomial_2 neg_binomial_2_log poisson poisson_log multinomial normal exp_mod_normal skew_normal student_t cauchy double_exponential logistic gumbel lognormal chi_square inv_chi_square scaled_inv_chi_square exponential inv_gamma weibull frechet rayleigh wiener pareto pareto_type_2 von_mises uniform multi_normal multi_normal_prec multi_normal_cholesky multi_gp multi_gp_cholesky multi_student_t gaussian_dlm_obs dirichlet lkj_corr lkj_corr_cholesky wishart inv_wishart","selector-tag":"int real vector simplex unit_vector ordered positive_ordered row_vector matrix cholesky_factor_corr cholesky_factor_cov corr_matrix cov_matrix",title:"functions model data parameters quantities transformed generated",literal:"true false"},r:0},{cN:"number",b:"0[xX][0-9a-fA-F]+[Li]?\\b",r:0},{cN:"number",b:"0[xX][0-9a-fA-F]+[Li]?\\b",r:0},{cN:"number",b:"\\d+(?:[eE][+\\-]?\\d*)?L\\b",r:0},{cN:"number",b:"\\d+\\.(?!\\d)(?:i\\b)?",r:0},{cN:"number",b:"\\d+(?:\\.\\d*)?(?:[eE][+\\-]?\\d*)?i?\\b",r:0},{cN:"number",b:"\\.\\d+(?:[eE][+\\-]?\\d*)?i?\\b",r:0}]}});hljs.registerLanguage("javascript",function(e){var r="[A-Za-z$_][0-9A-Za-z$_]*",t={keyword:"in of if for while finally var new function do return void else break catch instanceof with throw case default try this switch continue typeof delete let yield const export super debugger as async await static import from as",literal:"true false null undefined NaN Infinity",built_in:"eval isFinite isNaN parseFloat parseInt decodeURI decodeURIComponent encodeURI encodeURIComponent escape unescape Object Function Boolean Error EvalError InternalError RangeError ReferenceError StopIteration SyntaxError TypeError URIError Number Math Date String RegExp Array Float32Array Float64Array Int16Array Int32Array Int8Array Uint16Array Uint32Array Uint8Array Uint8ClampedArray ArrayBuffer DataView JSON Intl arguments require module console window document Symbol Set Map WeakSet WeakMap Proxy Reflect Promise"},a={cN:"number",v:[{b:"\\b(0[bB][01]+)"},{b:"\\b(0[oO][0-7]+)"},{b:e.CNR}],r:0},n={cN:"subst",b:"\\$\\{",e:"\\}",k:t,c:[]},c={cN:"string",b:"`",e:"`",c:[e.BE,n]};n.c=[e.ASM,e.QSM,c,a,e.RM];var s=n.c.concat([e.CBCM,e.CLCM]);return{aliases:["js","jsx"],k:t,c:[{cN:"meta",r:10,b:/^\s*['"]use (strict|asm)['"]/},{cN:"meta",b:/^#!/,e:/$/},e.ASM,e.QSM,c,e.CLCM,e.CBCM,a,{b:/[{,]\s*/,r:0,c:[{b:r+"\\s*:",rB:!0,r:0,c:[{cN:"attr",b:r,r:0}]}]},{b:"("+e.RSR+"|\\b(case|return|throw)\\b)\\s*",k:"return throw case",c:[e.CLCM,e.CBCM,e.RM,{cN:"function",b:"(\\(.*?\\)|"+r+")\\s*=>",rB:!0,e:"\\s*=>",c:[{cN:"params",v:[{b:r},{b:/\(\s*\)/},{b:/\(/,e:/\)/,eB:!0,eE:!0,k:t,c:s}]}]},{b:/</,e:/(\/\w+|\w+\/)>/,sL:"xml",c:[{b:/<\w+\s*\/>/,skip:!0},{b:/<\w+/,e:/(\/\w+|\w+\/)>/,skip:!0,c:[{b:/<\w+\s*\/>/,skip:!0},"self"]}]}],r:0},{cN:"function",bK:"function",e:/\{/,eE:!0,c:[e.inherit(e.TM,{b:r}),{cN:"params",b:/\(/,e:/\)/,eB:!0,eE:!0,c:s}],i:/\[|%/},{b:/\$[(.]/},e.METHOD_GUARD,{cN:"class",bK:"class",e:/[{;=]/,eE:!0,i:/[:"\[\]]/,c:[{bK:"extends"},e.UTM]},{bK:"constructor",e:/\{/,eE:!0}],i:/#(?!!)/}});hljs.registerLanguage("tex",function(c){var e={cN:"tag",b:/\\/,r:0,c:[{cN:"name",v:[{b:/[a-zA-Zа-яА-я]+[*]?/},{b:/[^a-zA-Zа-яА-я0-9]/}],starts:{eW:!0,r:0,c:[{cN:"string",v:[{b:/\[/,e:/\]/},{b:/\{/,e:/\}/}]},{b:/\s*=\s*/,eW:!0,r:0,c:[{cN:"number",b:/-?\d*\.?\d+(pt|pc|mm|cm|in|dd|cc|ex|em)?/}]}]}}]};return{c:[e,{cN:"formula",c:[e],r:0,v:[{b:/\$\$/,e:/\$\$/},{b:/\$/,e:/\$/}]},c.C("%","$",{r:0})]}});hljs.registerLanguage("xml",function(s){var e="[A-Za-z0-9\\._:-]+",t={eW:!0,i:/</,r:0,c:[{cN:"attr",b:e,r:0},{b:/=\s*/,r:0,c:[{cN:"string",endsParent:!0,v:[{b:/"/,e:/"/},{b:/'/,e:/'/},{b:/[^\s"'=<>`]+/}]}]}]};return{aliases:["html","xhtml","rss","atom","xjb","xsd","xsl","plist"],cI:!0,c:[{cN:"meta",b:"<!DOCTYPE",e:">",r:10,c:[{b:"\\[",e:"\\]"}]},s.C("<!--","-->",{r:10}),{b:"<\\!\\[CDATA\\[",e:"\\]\\]>",r:10},{b:/<\?(php)?/,e:/\?>/,sL:"php",c:[{b:"/\\*",e:"\\*/",skip:!0}]},{cN:"tag",b:"<style(?=\\s|>|$)",e:">",k:{name:"style"},c:[t],starts:{e:"</style>",rE:!0,sL:["css","xml"]}},{cN:"tag",b:"<script(?=\\s|>|$)",e:">",k:{name:"script"},c:[t],starts:{e:"</script>",rE:!0,sL:["actionscript","javascript","handlebars","xml"]}},{cN:"meta",v:[{b:/<\?xml/,e:/\?>/,r:10},{b:/<\?\w+/,e:/\?>/}]},{cN:"tag",b:"</?",e:"/?>",c:[{cN:"name",b:/[^\/><\s]+/,r:0},t]}]}});hljs.registerLanguage("markdown",function(e){return{aliases:["md","mkdown","mkd"],c:[{cN:"section",v:[{b:"^#{1,6}",e:"$"},{b:"^.+?\\n[=-]{2,}$"}]},{b:"<",e:">",sL:"xml",r:0},{cN:"bullet",b:"^([*+-]|(\\d+\\.))\\s+"},{cN:"strong",b:"[*_]{2}.+?[*_]{2}"},{cN:"emphasis",v:[{b:"\\*.+?\\*"},{b:"_.+?_",r:0}]},{cN:"quote",b:"^>\\s+",e:"$"},{cN:"code",v:[{b:"^```w*s*$",e:"^```s*$"},{b:"`.+?`"},{b:"^( {4}|	)",e:"$",r:0}]},{b:"^[-\\*]{3,}",e:"$"},{b:"\\[.+?\\][\\(\\[].*?[\\)\\]]",rB:!0,c:[{cN:"string",b:"\\[",e:"\\]",eB:!0,rE:!0,r:0},{cN:"link",b:"\\]\\(",e:"\\)",eB:!0,eE:!0},{cN:"symbol",b:"\\]\\[",e:"\\]",eB:!0,eE:!0}],r:10},{b:/^\[[^\n]+\]:/,rB:!0,c:[{cN:"symbol",b:/\[/,e:/\]/,eB:!0,eE:!0},{cN:"link",b:/:\s*/,e:/$/,eB:!0}]}]}});hljs.registerLanguage("json",function(e){var i={literal:"true false null"},n=[e.QSM,e.CNM],r={e:",",eW:!0,eE:!0,c:n,k:i},t={b:"{",e:"}",c:[{cN:"attr",b:/"/,e:/"/,c:[e.BE],i:"\\n"},e.inherit(r,{b:/:/})],i:"\\S"},c={b:"\\[",e:"\\]",c:[e.inherit(r)],i:"\\S"};return n.splice(n.length,0,t,c),{c:n,k:i,i:"\\S"}});"></script>

<style type="text/css">
  code{white-space: pre-wrap;}
  span.smallcaps{font-variant: small-caps;}
  span.underline{text-decoration: underline;}
  div.column{display: inline-block; vertical-align: top; width: 50%;}
  div.hanging-indent{margin-left: 1.5em; text-indent: -1.5em;}
  ul.task-list{list-style: none;}
    </style>

<style type="text/css">code{white-space: pre;}</style>
<script type="text/javascript">
if (window.hljs) {
  hljs.configure({languages: []});
  hljs.initHighlightingOnLoad();
  if (document.readyState && document.readyState === "complete") {
    window.setTimeout(function() { hljs.initHighlighting(); }, 0);
  }
}
</script>








<style type="text/css">
.main-container {
  max-width: 940px;
  margin-left: auto;
  margin-right: auto;
}
img {
  max-width:100%;
}
.tabbed-pane {
  padding-top: 12px;
}
.html-widget {
  margin-bottom: 20px;
}
button.code-folding-btn:focus {
  outline: none;
}
summary {
  display: list-item;
}
pre code {
  padding: 0;
}
</style>



<!-- tabsets -->

<style type="text/css">
.tabset-dropdown > .nav-tabs {
  display: inline-table;
  max-height: 500px;
  min-height: 44px;
  overflow-y: auto;
  border: 1px solid #ddd;
  border-radius: 4px;
}

.tabset-dropdown > .nav-tabs > li.active:before {
  content: "";
  font-family: 'Glyphicons Halflings';
  display: inline-block;
  padding: 10px;
  border-right: 1px solid #ddd;
}

.tabset-dropdown > .nav-tabs.nav-tabs-open > li.active:before {
  content: "";
  border: none;
}

.tabset-dropdown > .nav-tabs.nav-tabs-open:before {
  content: "";
  font-family: 'Glyphicons Halflings';
  display: inline-block;
  padding: 10px;
  border-right: 1px solid #ddd;
}

.tabset-dropdown > .nav-tabs > li.active {
  display: block;
}

.tabset-dropdown > .nav-tabs > li > a,
.tabset-dropdown > .nav-tabs > li > a:focus,
.tabset-dropdown > .nav-tabs > li > a:hover {
  border: none;
  display: inline-block;
  border-radius: 4px;
  background-color: transparent;
}

.tabset-dropdown > .nav-tabs.nav-tabs-open > li {
  display: block;
  float: none;
}

.tabset-dropdown > .nav-tabs > li {
  display: none;
}
</style>

<!-- code folding -->



<style type="text/css">

#TOC {
  margin: 25px 0px 20px 0px;
}
@media (max-width: 768px) {
#TOC {
  position: relative;
  width: 100%;
}
}

@media print {
.toc-content {
  /* see https://github.com/w3c/csswg-drafts/issues/4434 */
  float: right;
}
}

.toc-content {
  padding-left: 30px;
  padding-right: 40px;
}

div.main-container {
  max-width: 1200px;
}

div.tocify {
  width: 20%;
  max-width: 260px;
  max-height: 85%;
}

@media (min-width: 768px) and (max-width: 991px) {
  div.tocify {
    width: 25%;
  }
}

@media (max-width: 767px) {
  div.tocify {
    width: 100%;
    max-width: none;
  }
}

.tocify ul, .tocify li {
  line-height: 20px;
}

.tocify-subheader .tocify-item {
  font-size: 0.90em;
}

.tocify .list-group-item {
  border-radius: 0px;
}


</style>



</head>

<body>


<div class="container-fluid main-container">


<!-- setup 3col/9col grid for toc_float and main content  -->
<div class="row">
<div class="col-xs-12 col-sm-4 col-md-3">
<div id="TOC" class="tocify">
</div>
</div>

<div class="toc-content col-xs-12 col-sm-8 col-md-9">




<div id="header">



<h1 class="title toc-ignore">Replication of Ihme &amp; Tausendpfund (2018) - Stage 1 and 2</h1>
<h4 class="author">Flávio Azevedo, Deliah Bolesta, Leticia Micheli</h4>
<h4 class="date">23/10/2022</h4>

</div>


<pre><code>## Importing fonts may take a few minutes, depending on the number of fonts and the speed of the system.
## Continue? [y/n]</code></pre>
<div id="power-calculations" class="section level1">
<h1>Power calculations</h1>
<p>This is the power analysis used to calculate the sample size for verification attempts made on Ihme and Tausendpfund (2018). It is based on information extracted directly from the paper.</p>
<div id="variable-standardization" class="section level2">
<h2>Variable standardization</h2>
<p>The variables needed for the power analysis are first extracted into the necessary formats.</p>
<pre class="r"><code>original_test_statistic_type = &#39;f&#39;
original_test_statistic_numeric = 6.17
original_effect_size_type = &#39;eta squared&#39;
original_effect_size_numeric = .03
original_sample_size_numeric = 377</code></pre>
<p>Many papers do not report an effect size, and where they are present, there may be ambiguity about which effect size is being reported, or conflictings between the reported test statistic and effect size. We therefore re-calculate all effect sizes, and resolve any disagreements in favor of the reported test statistic (e.g. ‘trusting’ the papers report of <code>t</code> over <code>d</code>, if both were reported.)</p>
<pre class="r"><code>original_recalculated_effect_size_numeric = 0.0327895 #Note that this variable should have the same units as original_effect_size_numeric</code></pre>
</div>
<div id="power-analysis-calculation" class="section level2">
<h2>Power analysis calculation</h2>
<p>For all papers in SCORE, there are two power calculations used to derive the sample sizes that will be used for RR attempts. The first is 90% power, assuming that the true effect size is 75% of that reported in the original study. The second is 90% power, assuming that the true effect size is 50% of that reported in the original study.</p>
<p>For this paper, these calculations were conducted following the method in <code>SCORE power scripts.R</code> for ANCOVA, shown below:</p>
<pre class="r"><code># Remember to use set-seed if this involves any bootstrapping or other processes with randomization!

Fvalue  &lt;- 6.17
df1 &lt;- 2
df2 &lt;- 364
  
p_eta2 &lt;- (Fvalue * df1)/((Fvalue * df1) + df2)
cohenf2 &lt;- p_eta2/(1 - p_eta2)

library(pwr)
SSRP_75 &lt;- ceiling(pwr.f2.test(u = df1, v = NULL, f2 = cohenf2 * .75^2, sig.level = .05, power = .9)$v) + df1 + 1
SSRP_50 &lt;- ceiling(pwr.f2.test(u = df1, v = NULL, f2 = cohenf2 * .5^2, sig.level = .05, power = .9)$v) + df1 + 1

rr_stage1_sample_size = SSRP_75
rr_stage2_sample_size = SSRP_50</code></pre>
</div>
<div id="sample-size-report" class="section level2">
<h2>Sample size report</h2>
<p>For this paper, replication/reproduction will use <strong>a sample of 667 for stage 1 data collection</strong>, increasing to <strong>a total of 1497</strong> if stage 2 data collection is conducted.</p>
</div>
<div id="data-validation-and-saving." class="section level2">
<h2>Data validation and saving.</h2>
<p>Finally, here is some code that checks that we did indeed get all the necessary values for this power analysis, and then saves those values. This section is the same for all power analyses in SCORE.</p>
</div>
</div>
<div id="data-stage-1" class="section level1">
<h1>Data Stage 1</h1>
</div>
<div id="results-stage-1" class="section level1">
<h1>Results Stage 1</h1>
<pre class="r"><code># Following the analyses reported in the original study and the analysis script made available by the original authors, we tested the replication claim that activation of gender stereotypes influence performance in a political knowledge test with a 2 (gender) × 2 (field of work/study) × 3 (Gender Stereotype Activation) ANCOVA. The dependent variable was participants’ total score on the political knowledge test. As in the original study, a single score of political interest was calculated per participant (i.e., average of responses in the short scale of political interest) and included as a covariate.

ancova &lt;- aov(polknowledge ~ polinterest + gender*Politics*condition, data_stage1)
ancovafit &lt;- car::Anova(ancova, type = 3)
ancovafit</code></pre>
<pre><code>## Anova Table (Type III tests)
## 
## Response: polknowledge
##                           Sum Sq  Df F value  Pr(&gt;F)    
## (Intercept)                  522   1   42.11 1.7e-10 ***
## polinterest                 1288   1  103.96 &lt; 2e-16 ***
## gender                        29   1    2.31   0.129    
## Politics                      15   1    1.24   0.266    
## condition                     16   2    0.65   0.525    
## gender:Politics               77   1    6.22   0.013 *  
## gender:condition              17   2    0.69   0.501    
## Politics:condition            81   2    3.27   0.039 *  
## gender:Politics:condition     78   2    3.16   0.043 *  
## Residuals                   8154 658                    
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1</code></pre>
<pre class="r"><code>#sjstats::anova_stats(ancovafit)
sjstats::eta_sq(ancovafit, partial = T, ci.lvl = .95)</code></pre>
<pre><code>## Warning: &#39;sjstats::eta_sq&#39; is deprecated.
## Use &#39;effectsize::eta_squared()&#39; instead.
## See help(&quot;Deprecated&quot;)</code></pre>
<pre><code>## Type 3 ANOVAs only give sensible and informative results when covariates are
##   mean-centered and factors are coded with orthogonal contrasts (such as those
##   produced by &#39;contr.sum&#39;, &#39;contr.poly&#39;, or &#39;contr.helmert&#39;, but *not* by the
##   default &#39;contr.treatment&#39;).</code></pre>
<pre><code>## # Effect Size for ANOVA (Type III)
## 
## Parameter                 | Eta2 (partial) |       95% CI
## ---------------------------------------------------------
## polinterest               |           0.14 | [0.10, 1.00]
## gender                    |       3.50e-03 | [0.00, 1.00]
## Politics                  |       1.88e-03 | [0.00, 1.00]
## condition                 |       1.96e-03 | [0.00, 1.00]
## gender:Politics           |       9.36e-03 | [0.00, 1.00]
## gender:condition          |       2.10e-03 | [0.00, 1.00]
## Politics:condition        |       9.84e-03 | [0.00, 1.00]
## gender:Politics:condition |       9.53e-03 | [0.00, 1.00]
## 
## - One-sided CIs: upper bound fixed at (1).</code></pre>
<pre class="r"><code>apa.aov.table(
ancova,
&quot;sample1_h2.doc&quot;,
table.number = NA,
conf.level = 0.95,
type = 3
)</code></pre>
<pre><code>## 
## 
## ANOVA results using polknowledge as the dependent variable
##  
## 
##                      Predictor      SS  df      MS      F    p partial_eta2
##                    (Intercept)  521.80   1  521.80  42.11 .000             
##                    polinterest 1288.20   1 1288.20 103.96 .000          .14
##                         gender   28.62   1   28.62   2.31 .129          .00
##                       Politics   15.38   1   15.38   1.24 .266          .00
##                      condition   15.99   2    8.00   0.65 .525          .00
##              gender x Politics   77.02   1   77.02   6.22 .013          .01
##             gender x condition   17.12   2    8.56   0.69 .501          .00
##           Politics x condition   81.07   2   40.53   3.27 .039          .01
##  gender x Politics x condition   78.42   2   39.21   3.16 .043          .01
##                          Error 8153.59 658   12.39                         
##  CI_95_partial_eta2
##                    
##          [.09, .18]
##          [.00, .02]
##          [.00, .01]
##          [.00, .01]
##          [.00, .03]
##          [.00, .01]
##          [.00, .03]
##          [.00, .03]
##                    
## 
## Note: Values in square brackets indicate the bounds of the 95% confidence interval for partial eta-squared</code></pre>
</div>
<div id="data-stage-2" class="section level1">
<h1>Data Stage 2</h1>
<pre><code>## [1] 0</code></pre>
</div>
<div id="results-stage-2" class="section level1">
<h1>Results Stage 2</h1>
<p>The pooled analytical sample (first and second stages of data collection together) was composed by <em>N</em> = 1502 participants (<em>M age</em> = 45.87 years, <em>SD</em> = 17.35, 48.74% female).</p>
<pre><code>##    vars    n mean   sd median trimmed  mad  min max range skew kurtosis   se
## X1    1 1502 45.9 17.4     43    45.5 20.8 0.59  85  84.4 0.22    -1.12 0.45</code></pre>
<pre><code>## [1] 48.7</code></pre>
<pre class="r"><code># 2 (gender) × 2 (field of work/study) × 3 (Gender Stereotype Activation) ANCOVA. The dependent variable was participants’ total score on the political knowledge test. As in the original study, a single score of political interest was calculated per participant (i.e., average of responses in the short scale of political interest) and included as a covariate.

ancova &lt;- aov(polknowledge ~ polinterest + gender*Politics*condition, data_pooled)
ancovafit &lt;- car::Anova(ancova, type = 3)
ancovafit</code></pre>
<pre><code>## Anova Table (Type III tests)
## 
## Response: polknowledge
##                           Sum Sq   Df F value Pr(&gt;F)    
## (Intercept)                 1158    1   97.33 &lt;2e-16 ***
## polinterest                 2317    1  194.78 &lt;2e-16 ***
## gender                       340    1   28.61  1e-07 ***
## Politics                       1    1    0.12   0.72    
## condition                      6    2    0.27   0.77    
## gender:Politics               13    1    1.05   0.31    
## gender:condition              29    2    1.22   0.30    
## Politics:condition            27    2    1.13   0.32    
## gender:Politics:condition      5    2    0.22   0.81    
## Residuals                  17714 1489                   
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1</code></pre>
<pre class="r"><code>psych::describeBy(data_pooled$polknowledge, group = data_pooled$gender)</code></pre>
<pre><code>## 
##  Descriptive statistics by group 
## group: Female
##    vars   n mean   sd median trimmed  mad min max range skew kurtosis   se
## X1    1 732 7.36 3.62      7    7.33 4.45   0  19    19  0.1    -0.48 0.13
## ------------------------------------------------------------ 
## group: Male
##    vars   n mean   sd median trimmed  mad min max range  skew kurtosis   se
## X1    1 770 9.81 3.87     10    9.92 4.45   0  18    18 -0.22    -0.48 0.14</code></pre>
<pre class="r"><code>#sjstats::anova_stats(ancovafit)
sjstats::eta_sq(ancovafit, partial = T, ci.lvl = .95)</code></pre>
<pre><code>## Warning: &#39;sjstats::eta_sq&#39; is deprecated.
## Use &#39;effectsize::eta_squared()&#39; instead.
## See help(&quot;Deprecated&quot;)</code></pre>
<pre><code>## Type 3 ANOVAs only give sensible and informative results when covariates are
##   mean-centered and factors are coded with orthogonal contrasts (such as those
##   produced by &#39;contr.sum&#39;, &#39;contr.poly&#39;, or &#39;contr.helmert&#39;, but *not* by the
##   default &#39;contr.treatment&#39;).</code></pre>
<pre><code>## # Effect Size for ANOVA (Type III)
## 
## Parameter                 | Eta2 (partial) |       95% CI
## ---------------------------------------------------------
## polinterest               |           0.12 | [0.09, 1.00]
## gender                    |           0.02 | [0.01, 1.00]
## Politics                  |       8.33e-05 | [0.00, 1.00]
## condition                 |       3.58e-04 | [0.00, 1.00]
## gender:Politics           |       7.06e-04 | [0.00, 1.00]
## gender:condition          |       1.63e-03 | [0.00, 1.00]
## Politics:condition        |       1.51e-03 | [0.00, 1.00]
## gender:Politics:condition |       2.90e-04 | [0.00, 1.00]
## 
## - One-sided CIs: upper bound fixed at (1).</code></pre>
<pre class="r"><code>apa.aov.table(
ancova,
&quot;sample2_h2.doc&quot;,
table.number = NA,
conf.level = 0.95,
type = 3
)</code></pre>
<pre><code>## 
## 
## ANOVA results using polknowledge as the dependent variable
##  
## 
##                      Predictor       SS   df      MS      F    p partial_eta2
##                    (Intercept)  1157.90    1 1157.90  97.33 .000             
##                    polinterest  2317.15    1 2317.15 194.78 .000          .12
##                         gender   340.33    1  340.33  28.61 .000          .02
##                       Politics     1.48    1    1.48   0.12 .725          .00
##                      condition     6.34    2    3.17   0.27 .766          .00
##              gender x Politics    12.51    1   12.51   1.05 .305          .00
##             gender x condition    28.92    2   14.46   1.22 .297          .00
##           Politics x condition    26.82    2   13.41   1.13 .324          .00
##  gender x Politics x condition     5.15    2    2.58   0.22 .806          .00
##                          Error 17713.93 1489   11.90                         
##  CI_95_partial_eta2
##                    
##          [.09, .15]
##          [.01, .03]
##          [.00, .00]
##          [.00, .00]
##          [.00, .01]
##          [.00, .01]
##          [.00, .01]
##          [.00, .00]
##                    
## 
## Note: Values in square brackets indicate the bounds of the 95% confidence interval for partial eta-squared</code></pre>
<pre class="r"><code># Bonferroni-corrected pairwise comparisons of gender with the emmeans function in R (Lenth et al. 2018).
data_pooled$polinterest_c &lt;- center_scale(data_pooled$polinterest)

ancova &lt;- aov(polknowledge ~ polinterest_c + gender*Politics*condition, data_pooled)
emmeans.ancova &lt;- emmeans(ancova, specs = c(&quot;gender&quot;, &quot;condition&quot;))</code></pre>
<pre><code>## NOTE: Results may be misleading due to involvement in interactions</code></pre>
<pre class="r"><code>emmeans.ancova </code></pre>
<pre><code>##  gender condition        emmean    SE   df lower.CL upper.CL
##  Female control            7.28 0.248 1489     6.79     7.77
##  Male   control            9.72 0.215 1489     9.30    10.14
##  Female gender_question    7.93 0.238 1489     7.47     8.40
##  Male   gender_question    9.34 0.218 1489     8.92     9.77
##  Female gender_statement   7.89 0.232 1489     7.44     8.35
##  Male   gender_statement   9.80 0.216 1489     9.38    10.23
## 
## Results are averaged over the levels of: Politics 
## Confidence level used: 0.95</code></pre>
<pre class="r"><code>contrast &lt;- contrast(emmeans.ancova, &quot;pairwise&quot;, 
                        simple = &quot;gender&quot;, # &quot;each&quot; gives all contrasts
                        combine = F, 
                        adjust = &quot;bonferroni&quot;)

contrast</code></pre>
<pre><code>## condition = control:
##  contrast      estimate    SE   df t.ratio p.value
##  Female - Male    -2.44 0.329 1489  -7.420  &lt;.0001
## 
## condition = gender_question:
##  contrast      estimate    SE   df t.ratio p.value
##  Female - Male    -1.41 0.323 1489  -4.360  &lt;.0001
## 
## condition = gender_statement:
##  contrast      estimate    SE   df t.ratio p.value
##  Female - Male    -1.91 0.317 1489  -6.020  &lt;.0001
## 
## Results are averaged over the levels of: Politics</code></pre>
<pre class="r"><code>symnum.args &lt;- list(cutpoints = c(0, 0.0001, 0.001, 0.01, 0.05, 1), symbols = c(&quot;****&quot;, &quot;***&quot;, &quot;**&quot;, &quot;*&quot;, &quot;ns&quot;))

# Visualization of gender differences in political knowledge test per stereotype activation condition
p &lt;- ggplot(data_pooled, aes(x = gender, y = polknowledge, 
                             color = gender))  +
  scale_color_manual(values = c(&quot;#66a182&quot;, &quot;#d1495b&quot;)) +
  #scale_color_manual(values = c(&quot;black&quot;, &quot;grey40&quot;)) + # b/w version
  geom_boxplot() +
  facet_wrap(~condition) +
  labs(
    y = &quot;Political Knowledge\n&quot;,
    x = &quot;&quot;
    #title = &quot;Mean Comparison of Political Knowledge Test Between Males and Females per \nExperimental Condition.\n&quot;
  ) +
  geom_jitter(shape=16, 
              position=position_jitter(0.2),
              alpha = .4) +
  theme_bw() +
  stat_compare_means(method = &quot;t.test&quot;, 
                       label = &quot;p.signif&quot;,
                       label.x = 1.5,
                       symnum.args = symnum.args,
                       family = &quot;serif&quot;,
                     size = 5) + 
     stat_summary(fun.data = function(x) data.frame(y=-1, label = paste(&quot;M =&quot;,round(mean(x),2))),
                  geom=&quot;text&quot;,
                  inherit.aes = T,
                  color = &quot;black&quot;,
                  family = &quot;serif&quot;,
                  size = 5) +
     theme(legend.position=&quot;none&quot;, 
           strip.text = element_text(size = 15),
           text = element_text(size=15, family=&quot;serif&quot;),
           axis.text.x = element_text(color = &quot;black&quot;, size = 15))

p</code></pre>
<p><img src="data:image/png;base64,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" width="672" /></p>
</div>
<div id="exploratory-analyses" class="section level1">
<h1>Exploratory Analyses</h1>
<div id="evidence-updated-replication-bayes-factors" class="section level2">
<h2>Evidence-updated replication Bayes factors</h2>
<p>Evidence-updated replication Bayes factors were calculated in JASP.</p>
</div>
<div id="scale-difficulty-z-test" class="section level2">
<h2>Scale difficulty z-test</h2>
<pre class="r"><code># z-test Stage 1
x1 &lt;- mean(data_stage1$polknowledge)
x2 &lt;- mean(originaldata$PolWis_score)

sigma1 &lt;- sd(data_stage1$polknowledge)/sqrt(nrow(data_stage1))
sigma2 &lt;- sd(originaldata$PolWis_score)/sqrt(nrow(originaldata))

z.test(x1, x2, sigma1, sigma2)</code></pre>
<pre><code>## [1] -2.52</code></pre>
<pre class="r"><code># z-Test Stage 2
x1 &lt;- mean(data_pooled$polknowledge)
x2 &lt;- mean(originaldata$PolWis_score)

sigma1 &lt;- sd(data_pooled$polknowledge)/sqrt(nrow(data_pooled))
sigma2 &lt;- sd(originaldata$PolWis_score)/sqrt(nrow(originaldata))

z.test(x1, x2, sigma1, sigma2)</code></pre>
<pre><code>## [1] -2.95</code></pre>
<pre class="r"><code># plot political knowledge score distributions
p &lt;- ggplot(data_stage1, aes(x = polknowledge)) + 
    geom_density(alpha=.5, fill=&quot;#00798c&quot;) +
  theme_bw() +
  labs(
    y = &quot;Density&quot;,
    x = &quot;Political Knowledge Score&quot;,
    title = &quot;Comparison of Political Knowledge Test Density Plots of the Original and the Replication Data.&quot;,
    subtitle = &quot;Stage 1 (Upper Panel) and Stage 2 (Lower Panel)\n&quot;
  ) +
  theme(text = element_text(family = &quot;serif&quot;, color = &quot;black&quot;))

p &lt;- p + geom_density(mapping = aes(x = PolWis_score),
                 data = originaldata,
                 alpha = .5,
                 fill = &quot;#d1495b&quot;) +
  annotate(&quot;text&quot;, x = 13, y = 0.09, label = &quot;Replication Data Stage 1&quot;, family = &quot;serif&quot;) +
  annotate(&quot;text&quot;, x = 17, y = 0.05, label = &quot;Original Data&quot;, family = &quot;serif&quot;)

#p

p2 &lt;- ggplot(data_pooled, aes(x = polknowledge)) + 
    geom_density(alpha=.5, fill=&quot;#00798c&quot;) +
  theme_bw() +
  labs(
    y = &quot;Density&quot;,
    x = &quot;Political Knowledge Score&quot;,
    caption = &quot;Original Data in Red, Replication Data in Blue&quot;
  ) +
  theme(text = element_text(family = &quot;serif&quot;, color = &quot;black&quot;))

p2 &lt;- p2 + geom_density(mapping = aes(x = PolWis_score),
                 data = originaldata,
                 alpha = .5,
                 fill = &quot;#d1495b&quot;)+
  annotate(&quot;text&quot;, x = 13, y = 0.09, label = &quot;Replication Data Stage 2&quot;, family = &quot;serif&quot;) +
  annotate(&quot;text&quot;, x = 17, y = 0.05, label = &quot;Original Data&quot;, family = &quot;serif&quot;)

#p2

grid.arrange(p, p2)</code></pre>
<p><img src="data:image/png;base64,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" width="672" /></p>
</div>
<div id="scale-difficulty-irt" class="section level2">
<h2>Scale difficulty IRT</h2>
<pre class="r"><code># Original data

# recode binary where 1 = correct answer, 0 = incorrect answer or NA
originaldata$PKT_1_dich &lt;- ifelse(is.na(originaldata$polwis01) == TRUE, 0,
                                 ifelse(originaldata$polwis01 == 4, 1, 0))
originaldata$PKT_2_dich &lt;- ifelse(is.na(originaldata$polwis02) == TRUE, 0,
                                 ifelse(originaldata$polwis02 == 4, 1, 0))
originaldata$PKT_3_dich &lt;- ifelse(is.na(originaldata$polwis03) == TRUE, 0,
                                 ifelse(originaldata$polwis03 == 1, 1, 0))
originaldata$PKT_4_dich &lt;- ifelse(is.na(originaldata$polwis04) == TRUE, 0,
                                 ifelse(originaldata$polwis04 == 2, 1, 0))
originaldata$PKT_5_dich &lt;- ifelse(is.na(originaldata$polwis05) == TRUE, 0,
                                 ifelse(originaldata$polwis05 == 2, 1, 0))
originaldata$PKT_6_dich &lt;- ifelse(is.na(originaldata$polwis06) == TRUE, 0,
                                 ifelse(originaldata$polwis06 == 3, 1, 0))
originaldata$PKT_7_dich &lt;- ifelse(is.na(originaldata$polwis07) == TRUE, 0,
                                 ifelse(originaldata$polwis07 == 2, 1, 0))
originaldata$PKT_8_dich &lt;- ifelse(is.na(originaldata$polwis08) == TRUE, 0,
                                 ifelse(originaldata$polwis08 == 2, 1, 0))
originaldata$PKT_9_dich &lt;- ifelse(is.na(originaldata$polwis09) == TRUE, 0,
                                 ifelse(originaldata$polwis09 == 4, 1, 0))
originaldata$PKT_10_dich &lt;- ifelse(is.na(originaldata$polwis10) == TRUE, 0,
                                  ifelse(originaldata$polwis10 == 1, 1, 0))
originaldata$PKT_11_dich &lt;- ifelse(is.na(originaldata$polwis11) == TRUE, 0,
                                  ifelse(originaldata$polwis11 == 1, 1, 0))
originaldata$PKT_12_dich &lt;- ifelse(is.na(originaldata$polwis12) == TRUE, 0,
                                  ifelse(originaldata$polwis12 == 3, 1, 0))
originaldata$PKT_13_dich &lt;- ifelse(is.na(originaldata$polwis13) == TRUE, 0,
                                  ifelse(originaldata$polwis13 == 3, 1, 0)) 
originaldata$PKT_14_dich &lt;- ifelse(is.na(originaldata$polwis14) == TRUE, 0,
                                  ifelse(originaldata$polwis14 == 2, 1, 0))
originaldata$PKT_15_dich &lt;- ifelse(is.na(originaldata$polwis15) == TRUE, 0,
                                  ifelse(originaldata$polwis15 == 1, 1, 0))
originaldata$PKT_16_dich &lt;- ifelse(is.na(originaldata$polwis16) == TRUE, 0,
                                  ifelse(originaldata$polwis16 == 1, 1, 0))
originaldata$PKT_17_dich &lt;- ifelse(is.na(originaldata$polwis17) == TRUE, 0,
                                  ifelse(originaldata$polwis17 == 4, 1, 0))
originaldata$PKT_18_dich &lt;- ifelse(is.na(originaldata$polwis18) == TRUE, 0,
                                  ifelse(originaldata$polwis18 == 2, 1, 0))
originaldata$PKT_19_dich &lt;- ifelse(is.na(originaldata$polwis19) == TRUE, 0,
                                  ifelse(originaldata$polwis19 == 3, 1, 0))
originaldata$PKT_20_dich &lt;- ifelse(is.na(originaldata$polwis20) == TRUE, 0,
                                  ifelse(originaldata$polwis20 == 2, 1, 0))

#
PolKnow_items_Orig &lt;- originaldata[, c(&quot;PKT_1_dich&quot;, &quot;PKT_2_dich&quot;, 
                                       &quot;PKT_3_dich&quot;, &quot;PKT_4_dich&quot;, &quot;PKT_5_dich&quot;, &quot;PKT_6_dich&quot;, &quot;PKT_7_dich&quot;, 
                                       &quot;PKT_8_dich&quot;, &quot;PKT_9_dich&quot;, &quot;PKT_10_dich&quot;, &quot;PKT_11_dich&quot;, &quot;PKT_12_dich&quot;, 
                                       &quot;PKT_13_dich&quot;, &quot;PKT_14_dich&quot;, &quot;PKT_15_dich&quot;, &quot;PKT_16_dich&quot;, &quot;PKT_17_dich&quot;, 
                                       &quot;PKT_18_dich&quot;, &quot;PKT_19_dich&quot;, &quot;PKT_20_dich&quot;)]
#
names(PolKnow_items_Orig) &lt;- c(&quot;item 1&quot;, &quot;item 2&quot;, &quot;item 3&quot;, &quot;item 4&quot;, &quot;item 5&quot;, &quot;item 6&quot;, 
                              &quot;item 7&quot;, &quot;item 8&quot;, &quot;item 9&quot;, &quot;item 10&quot;, &quot;item 11&quot;, &quot;item 12&quot;, 
                              &quot;item 13&quot;, &quot;item 14&quot;, &quot;item 15&quot;, &quot;item 16&quot;, &quot;item 17&quot;, &quot;item 18&quot;, 
                              &quot;item 19&quot;, &quot;item 20&quot;)

######################################
# Pooled data (Stage 1 and 2 together)
######################################

PolKnow_items_all &lt;- data_pooled[, c(&quot;PKT_1_dich&quot;, &quot;PKT_2_dich&quot;, &quot;PKT_3_dich&quot;, 
                                    &quot;PKT_4_dich&quot;, &quot;PKT_5_dich&quot;, &quot;PKT_6_dich&quot;,
                                    &quot;PKT_7_dich&quot;, &quot;PKT_8_dich&quot;, &quot;PKT_9_dich&quot;, 
                                    &quot;PKT_10_dich&quot;, &quot;PKT_11_dich&quot;, &quot;PKT_12_dich&quot;, 
                                    &quot;PKT_13_dich&quot;, &quot;PKT_14_dich&quot;,
                                    &quot;PKT_15_dich&quot;, &quot;PKT_16_dich&quot;, &quot;PKT_17_dich&quot;, 
                                    &quot;PKT_18_dich&quot;, &quot;PKT_19_dich&quot;, &quot;PKT_20_dich&quot;)]
#
names(PolKnow_items_all) &lt;- c(&quot;item 1&quot;, &quot;item 2&quot;, &quot;item 3&quot;, &quot;item 4&quot;, &quot;item 5&quot;, &quot;item 6&quot;, 
                              &quot;item 7&quot;, &quot;item 8&quot;, &quot;item 9&quot;, &quot;item 10&quot;, &quot;item 11&quot;, &quot;item 12&quot;, 
                              &quot;item 13&quot;, &quot;item 14&quot;, &quot;item 15&quot;, &quot;item 16&quot;, &quot;item 17&quot;, &quot;item 18&quot;, 
                              &quot;item 19&quot;, &quot;item 20&quot;)
#
#
#
# ggcorrplot::ggcorrplot(cor(PolKnow_items_all,  use = &quot;pairwise.complete.obs&quot;), 
#                        hc.order = TRUE, type = &quot;lower&quot;, lab = TRUE, insig = &quot;blank&quot;)
# #
# ggcorrplot::ggcorrplot(cor(PolKnow_items_Orig,  use = &quot;pairwise.complete.obs&quot;), 
#                        hc.order = TRUE, type = &quot;lower&quot;, lab = TRUE, insig = &quot;blank&quot;)
#
#
S1.Rasch.OD &lt;- mirt::mirt(PolKnow_items_Orig, 1, itemtype = &#39;Rasch&#39;, SE = TRUE, technical = list(removeEmptyRows=TRUE))</code></pre>
<pre><code>## Warning: removeEmptyRows option has been deprecated. Complete NA response
## vectors now supported by using NA placeholders</code></pre>
<pre><code>## 
Iteration: 1, Log-Lik: -4167.911, Max-Change: 0.20187
Iteration: 2, Log-Lik: -4162.709, Max-Change: 0.11187
Iteration: 3, Log-Lik: -4161.346, Max-Change: 0.06022
Iteration: 4, Log-Lik: -4160.998, Max-Change: 0.03132
Iteration: 5, Log-Lik: -4160.917, Max-Change: 0.01487
Iteration: 6, Log-Lik: -4160.896, Max-Change: 0.00727
Iteration: 7, Log-Lik: -4160.890, Max-Change: 0.00359
Iteration: 8, Log-Lik: -4160.888, Max-Change: 0.00169
Iteration: 9, Log-Lik: -4160.887, Max-Change: 0.00098
Iteration: 10, Log-Lik: -4160.886, Max-Change: 0.00052
Iteration: 11, Log-Lik: -4160.886, Max-Change: 0.00033
Iteration: 12, Log-Lik: -4160.885, Max-Change: 0.00026
Iteration: 13, Log-Lik: -4160.885, Max-Change: 0.00009
## 
## Calculating information matrix...</code></pre>
<pre class="r"><code>S1.2PL.OD   &lt;- mirt::mirt(PolKnow_items_Orig, 1, itemtype = &#39;2PL&#39;, SE = TRUE, technical = list(removeEmptyRows=TRUE))</code></pre>
<pre><code>## Warning: removeEmptyRows option has been deprecated. Complete NA response
## vectors now supported by using NA placeholders</code></pre>
<pre><code>## 
Iteration: 1, Log-Lik: -4185.089, Max-Change: 0.84054
Iteration: 2, Log-Lik: -4028.731, Max-Change: 0.52753
Iteration: 3, Log-Lik: -4000.736, Max-Change: 0.33849
Iteration: 4, Log-Lik: -3993.738, Max-Change: 0.21306
Iteration: 5, Log-Lik: -3991.239, Max-Change: 0.14064
Iteration: 6, Log-Lik: -3990.183, Max-Change: 0.10459
Iteration: 7, Log-Lik: -3989.431, Max-Change: 0.02919
Iteration: 8, Log-Lik: -3989.358, Max-Change: 0.02210
Iteration: 9, Log-Lik: -3989.324, Max-Change: 0.01276
Iteration: 10, Log-Lik: -3989.295, Max-Change: 0.01083
Iteration: 11, Log-Lik: -3989.292, Max-Change: 0.00517
Iteration: 12, Log-Lik: -3989.290, Max-Change: 0.00280
Iteration: 13, Log-Lik: -3989.288, Max-Change: 0.00120
Iteration: 14, Log-Lik: -3989.288, Max-Change: 0.00088
Iteration: 15, Log-Lik: -3989.287, Max-Change: 0.00094
Iteration: 16, Log-Lik: -3989.286, Max-Change: 0.00026
Iteration: 17, Log-Lik: -3989.286, Max-Change: 0.00011
Iteration: 18, Log-Lik: -3989.286, Max-Change: 0.00011
Iteration: 19, Log-Lik: -3989.286, Max-Change: 0.00012
Iteration: 20, Log-Lik: -3989.286, Max-Change: 0.00055
Iteration: 21, Log-Lik: -3989.286, Max-Change: 0.00008
## 
## Calculating information matrix...</code></pre>
<pre class="r"><code>S1.3PL.OD   &lt;- mirt::mirt(PolKnow_items_Orig, 1, itemtype = &#39;3PL&#39;, SE = TRUE, technical = list(removeEmptyRows=TRUE))</code></pre>
<pre><code>## Warning: removeEmptyRows option has been deprecated. Complete NA response
## vectors now supported by using NA placeholders</code></pre>
<pre><code>## 
Iteration: 1, Log-Lik: -4295.492, Max-Change: 7.10522
Iteration: 2, Log-Lik: -4048.049, Max-Change: 1.24252
Iteration: 3, Log-Lik: -4010.698, Max-Change: 0.47858
Iteration: 4, Log-Lik: -3997.876, Max-Change: 0.43128
Iteration: 5, Log-Lik: -3992.341, Max-Change: 0.33939
Iteration: 6, Log-Lik: -3989.401, Max-Change: 0.26168
Iteration: 7, Log-Lik: -3985.291, Max-Change: 0.15172
Iteration: 8, Log-Lik: -3984.913, Max-Change: 1.62203
Iteration: 9, Log-Lik: -3984.449, Max-Change: 0.44267
Iteration: 10, Log-Lik: -3984.348, Max-Change: 1.35082
Iteration: 11, Log-Lik: -3984.119, Max-Change: 0.04334
Iteration: 12, Log-Lik: -3983.979, Max-Change: 0.86286
Iteration: 13, Log-Lik: -3983.846, Max-Change: 0.35618
Iteration: 14, Log-Lik: -3983.749, Max-Change: 0.07217
Iteration: 15, Log-Lik: -3983.675, Max-Change: 0.02732
Iteration: 16, Log-Lik: -3983.622, Max-Change: 0.02661
Iteration: 17, Log-Lik: -3983.574, Max-Change: 0.02577
Iteration: 18, Log-Lik: -3983.535, Max-Change: 0.02523
Iteration: 19, Log-Lik: -3983.397, Max-Change: 0.00853
Iteration: 20, Log-Lik: -3983.389, Max-Change: 0.00504
Iteration: 21, Log-Lik: -3983.385, Max-Change: 0.00981
Iteration: 22, Log-Lik: -3983.380, Max-Change: 0.01014
Iteration: 23, Log-Lik: -3983.378, Max-Change: 0.00354
Iteration: 24, Log-Lik: -3983.376, Max-Change: 0.00388
Iteration: 25, Log-Lik: -3983.373, Max-Change: 0.00376
Iteration: 26, Log-Lik: -3983.372, Max-Change: 0.00387
Iteration: 27, Log-Lik: -3983.371, Max-Change: 0.00240
Iteration: 28, Log-Lik: -3983.369, Max-Change: 0.00461
Iteration: 29, Log-Lik: -3983.368, Max-Change: 0.00247
Iteration: 30, Log-Lik: -3983.368, Max-Change: 0.00026
Iteration: 31, Log-Lik: -3983.368, Max-Change: 0.00025
Iteration: 32, Log-Lik: -3983.368, Max-Change: 0.00095
Iteration: 33, Log-Lik: -3983.368, Max-Change: 0.00138
Iteration: 34, Log-Lik: -3983.368, Max-Change: 0.00033
Iteration: 35, Log-Lik: -3983.368, Max-Change: 0.00092
Iteration: 36, Log-Lik: -3983.367, Max-Change: 0.00029
Iteration: 37, Log-Lik: -3983.367, Max-Change: 0.00024
Iteration: 38, Log-Lik: -3983.367, Max-Change: 0.00085
Iteration: 39, Log-Lik: -3983.367, Max-Change: 0.00017
Iteration: 40, Log-Lik: -3983.367, Max-Change: 0.00014
Iteration: 41, Log-Lik: -3983.367, Max-Change: 0.00066
Iteration: 42, Log-Lik: -3983.367, Max-Change: 0.00063
Iteration: 43, Log-Lik: -3983.367, Max-Change: 0.00032
Iteration: 44, Log-Lik: -3983.367, Max-Change: 0.00050
Iteration: 45, Log-Lik: -3983.367, Max-Change: 0.00026
Iteration: 46, Log-Lik: -3983.367, Max-Change: 0.00021
Iteration: 47, Log-Lik: -3983.367, Max-Change: 0.00041
Iteration: 48, Log-Lik: -3983.367, Max-Change: 0.00016
Iteration: 49, Log-Lik: -3983.367, Max-Change: 0.00013
Iteration: 50, Log-Lik: -3983.367, Max-Change: 0.00033
Iteration: 51, Log-Lik: -3983.367, Max-Change: 0.00054
Iteration: 52, Log-Lik: -3983.367, Max-Change: 0.00025
Iteration: 53, Log-Lik: -3983.367, Max-Change: 0.00041
Iteration: 54, Log-Lik: -3983.367, Max-Change: 0.00020
Iteration: 55, Log-Lik: -3983.367, Max-Change: 0.00016
Iteration: 56, Log-Lik: -3983.367, Max-Change: 0.00028
Iteration: 57, Log-Lik: -3983.367, Max-Change: 0.00012
Iteration: 58, Log-Lik: -3983.367, Max-Change: 0.00050
Iteration: 59, Log-Lik: -3983.367, Max-Change: 0.00024
Iteration: 60, Log-Lik: -3983.367, Max-Change: 0.00041
Iteration: 61, Log-Lik: -3983.367, Max-Change: 0.00031
Iteration: 62, Log-Lik: -3983.367, Max-Change: 0.00052
Iteration: 63, Log-Lik: -3983.367, Max-Change: 0.00025
Iteration: 64, Log-Lik: -3983.367, Max-Change: 0.00020
Iteration: 65, Log-Lik: -3983.367, Max-Change: 0.00033
Iteration: 66, Log-Lik: -3983.367, Max-Change: 0.00015
Iteration: 67, Log-Lik: -3983.367, Max-Change: 0.00012
Iteration: 68, Log-Lik: -3983.367, Max-Change: 0.00028
Iteration: 69, Log-Lik: -3983.367, Max-Change: 0.00049
Iteration: 70, Log-Lik: -3983.367, Max-Change: 0.00021
Iteration: 71, Log-Lik: -3983.367, Max-Change: 0.00035
Iteration: 72, Log-Lik: -3983.367, Max-Change: 0.00016
Iteration: 73, Log-Lik: -3983.367, Max-Change: 0.00013
Iteration: 74, Log-Lik: -3983.367, Max-Change: 0.00028
Iteration: 75, Log-Lik: -3983.367, Max-Change: 0.00051
Iteration: 76, Log-Lik: -3983.367, Max-Change: 0.00021
Iteration: 77, Log-Lik: -3983.367, Max-Change: 0.00036
Iteration: 78, Log-Lik: -3983.367, Max-Change: 0.00016
Iteration: 79, Log-Lik: -3983.367, Max-Change: 0.00013
Iteration: 80, Log-Lik: -3983.367, Max-Change: 0.00028
Iteration: 81, Log-Lik: -3983.367, Max-Change: 0.00010
Iteration: 82, Log-Lik: -3983.367, Max-Change: 0.00042
Iteration: 83, Log-Lik: -3983.367, Max-Change: 0.00019
Iteration: 84, Log-Lik: -3983.367, Max-Change: 0.00033
Iteration: 85, Log-Lik: -3983.367, Max-Change: 0.00025
Iteration: 86, Log-Lik: -3983.367, Max-Change: 0.00043
Iteration: 87, Log-Lik: -3983.367, Max-Change: 0.00020
Iteration: 88, Log-Lik: -3983.367, Max-Change: 0.00016
Iteration: 89, Log-Lik: -3983.367, Max-Change: 0.00028
Iteration: 90, Log-Lik: -3983.367, Max-Change: 0.00012
Iteration: 91, Log-Lik: -3983.367, Max-Change: 0.00050
Iteration: 92, Log-Lik: -3983.367, Max-Change: 0.00023
Iteration: 93, Log-Lik: -3983.367, Max-Change: 0.00039
Iteration: 94, Log-Lik: -3983.367, Max-Change: 0.00032
Iteration: 95, Log-Lik: -3983.367, Max-Change: 0.00011
Iteration: 96, Log-Lik: -3983.367, Max-Change: 0.00028
Iteration: 97, Log-Lik: -3983.367, Max-Change: 0.00012
Iteration: 98, Log-Lik: -3983.367, Max-Change: 0.00028
Iteration: 99, Log-Lik: -3983.367, Max-Change: 0.00010
## 
## Calculating information matrix...</code></pre>
<pre><code>## Warning: Could not invert information matrix; model likely is not empirically
## identified.</code></pre>
<pre class="r"><code>#
anova(S1.Rasch.OD, S1.2PL.OD)# 2PL </code></pre>
<pre><code>## 
## Model 1: mirt::mirt(data = PolKnow_items_Orig, model = 1, itemtype = &quot;Rasch&quot;, 
##     SE = TRUE, technical = list(removeEmptyRows = TRUE))
## Model 2: mirt::mirt(data = PolKnow_items_Orig, model = 1, itemtype = &quot;2PL&quot;, 
##     SE = TRUE, technical = list(removeEmptyRows = TRUE))</code></pre>
<pre><code>##    AIC SABIC   HQ  BIC logLik  X2  df   p
## 1 8364  8380 8397 8446  -4161 NaN NaN NaN
## 2 8059  8089 8121 8216  -3989 343  19   0</code></pre>
<pre class="r"><code>anova(S1.2PL.OD, S1.3PL.OD)  # 2PL</code></pre>
<pre><code>## 
## Model 1: mirt::mirt(data = PolKnow_items_Orig, model = 1, itemtype = &quot;2PL&quot;, 
##     SE = TRUE, technical = list(removeEmptyRows = TRUE))
## Model 2: mirt::mirt(data = PolKnow_items_Orig, model = 1, itemtype = &quot;3PL&quot;, 
##     SE = TRUE, technical = list(removeEmptyRows = TRUE))</code></pre>
<pre><code>##    AIC SABIC   HQ  BIC logLik   X2  df     p
## 1 8059  8089 8121 8216  -3989  NaN NaN   NaN
## 2 8087  8132 8180 8323  -3983 11.8  20 0.922</code></pre>
<pre class="r"><code>#
#
S1.Rasch.pooled &lt;- mirt::mirt(PolKnow_items_all, 1, itemtype = &#39;Rasch&#39;, SE = TRUE, technical = list(removeEmptyRows=TRUE))</code></pre>
<pre><code>## Warning: removeEmptyRows option has been deprecated. Complete NA response
## vectors now supported by using NA placeholders</code></pre>
<pre><code>## 
Iteration: 1, Log-Lik: -15887.084, Max-Change: 0.11738
Iteration: 2, Log-Lik: -15882.321, Max-Change: 0.04778
Iteration: 3, Log-Lik: -15881.013, Max-Change: 0.02718
Iteration: 4, Log-Lik: -15880.594, Max-Change: 0.01589
Iteration: 5, Log-Lik: -15880.474, Max-Change: 0.00797
Iteration: 6, Log-Lik: -15880.435, Max-Change: 0.00434
Iteration: 7, Log-Lik: -15880.418, Max-Change: 0.00259
Iteration: 8, Log-Lik: -15880.413, Max-Change: 0.00124
Iteration: 9, Log-Lik: -15880.411, Max-Change: 0.00067
Iteration: 10, Log-Lik: -15880.409, Max-Change: 0.00049
Iteration: 11, Log-Lik: -15880.409, Max-Change: 0.00024
Iteration: 12, Log-Lik: -15880.408, Max-Change: 0.00017
Iteration: 13, Log-Lik: -15880.408, Max-Change: 0.00009
## 
## Calculating information matrix...</code></pre>
<pre class="r"><code>S1.2PL.pooled &lt;- mirt::mirt(PolKnow_items_all, 1, itemtype = &#39;2PL&#39;, SE = TRUE, technical = list(removeEmptyRows=TRUE))</code></pre>
<pre><code>## Warning: removeEmptyRows option has been deprecated. Complete NA response
## vectors now supported by using NA placeholders</code></pre>
<pre><code>## 
Iteration: 1, Log-Lik: -15927.420, Max-Change: 0.59496
Iteration: 2, Log-Lik: -15602.823, Max-Change: 0.28135
Iteration: 3, Log-Lik: -15550.175, Max-Change: 0.19004
Iteration: 4, Log-Lik: -15529.678, Max-Change: 0.12409
Iteration: 5, Log-Lik: -15525.108, Max-Change: 0.07448
Iteration: 6, Log-Lik: -15523.615, Max-Change: 0.03941
Iteration: 7, Log-Lik: -15523.087, Max-Change: 0.02135
Iteration: 8, Log-Lik: -15522.920, Max-Change: 0.01244
Iteration: 9, Log-Lik: -15522.853, Max-Change: 0.00764
Iteration: 10, Log-Lik: -15522.812, Max-Change: 0.00263
Iteration: 11, Log-Lik: -15522.807, Max-Change: 0.00213
Iteration: 12, Log-Lik: -15522.805, Max-Change: 0.00099
Iteration: 13, Log-Lik: -15522.804, Max-Change: 0.00133
Iteration: 14, Log-Lik: -15522.804, Max-Change: 0.00042
Iteration: 15, Log-Lik: -15522.804, Max-Change: 0.00095
Iteration: 16, Log-Lik: -15522.804, Max-Change: 0.00085
Iteration: 17, Log-Lik: -15522.803, Max-Change: 0.00015
Iteration: 18, Log-Lik: -15522.803, Max-Change: 0.00033
Iteration: 19, Log-Lik: -15522.803, Max-Change: 0.00020
Iteration: 20, Log-Lik: -15522.803, Max-Change: 0.00009
## 
## Calculating information matrix...</code></pre>
<pre class="r"><code>S1.3PL.pooled &lt;- mirt::mirt(PolKnow_items_all, 1, itemtype = &#39;3PL&#39;, SE = TRUE, technical = list(removeEmptyRows=TRUE))</code></pre>
<pre><code>## Warning: removeEmptyRows option has been deprecated. Complete NA response
## vectors now supported by using NA placeholders</code></pre>
<pre><code>## 
Iteration: 1, Log-Lik: -16473.468, Max-Change: 2.79257
Iteration: 2, Log-Lik: -15673.199, Max-Change: 1.37603
Iteration: 3, Log-Lik: -15568.354, Max-Change: 0.57939
Iteration: 4, Log-Lik: -15543.572, Max-Change: 0.40135
Iteration: 5, Log-Lik: -15530.175, Max-Change: 0.38671
Iteration: 6, Log-Lik: -15521.516, Max-Change: 0.20363
Iteration: 7, Log-Lik: -15516.612, Max-Change: 0.22582
Iteration: 8, Log-Lik: -15513.043, Max-Change: 0.13958
Iteration: 9, Log-Lik: -15510.238, Max-Change: 0.12385
Iteration: 10, Log-Lik: -15506.262, Max-Change: 0.07301
Iteration: 11, Log-Lik: -15505.640, Max-Change: 0.30825
Iteration: 12, Log-Lik: -15505.412, Max-Change: 0.77050
Iteration: 13, Log-Lik: -15505.128, Max-Change: 0.02889
Iteration: 14, Log-Lik: -15504.979, Max-Change: 0.02580
Iteration: 15, Log-Lik: -15504.930, Max-Change: 0.02513
Iteration: 16, Log-Lik: -15504.827, Max-Change: 0.01638
Iteration: 17, Log-Lik: -15504.816, Max-Change: 0.00157
Iteration: 18, Log-Lik: -15504.815, Max-Change: 0.00085
Iteration: 19, Log-Lik: -15504.814, Max-Change: 0.00059
Iteration: 20, Log-Lik: -15504.814, Max-Change: 0.00059
Iteration: 21, Log-Lik: -15504.814, Max-Change: 0.00062
Iteration: 22, Log-Lik: -15504.814, Max-Change: 0.00073
Iteration: 23, Log-Lik: -15504.814, Max-Change: 0.00022
Iteration: 24, Log-Lik: -15504.814, Max-Change: 0.00054
Iteration: 25, Log-Lik: -15504.814, Max-Change: 0.00028
Iteration: 26, Log-Lik: -15504.814, Max-Change: 0.00013
Iteration: 27, Log-Lik: -15504.814, Max-Change: 0.00035
Iteration: 28, Log-Lik: -15504.814, Max-Change: 0.00017
Iteration: 29, Log-Lik: -15504.814, Max-Change: 0.00040
Iteration: 30, Log-Lik: -15504.813, Max-Change: 0.00013
Iteration: 31, Log-Lik: -15504.813, Max-Change: 0.00055
Iteration: 32, Log-Lik: -15504.813, Max-Change: 0.00019
Iteration: 33, Log-Lik: -15504.813, Max-Change: 0.00045
Iteration: 34, Log-Lik: -15504.813, Max-Change: 0.00026
Iteration: 35, Log-Lik: -15504.813, Max-Change: 0.00012
Iteration: 36, Log-Lik: -15504.813, Max-Change: 0.00028
Iteration: 37, Log-Lik: -15504.813, Max-Change: 0.00016
Iteration: 38, Log-Lik: -15504.813, Max-Change: 0.00037
Iteration: 39, Log-Lik: -15504.813, Max-Change: 0.00012
Iteration: 40, Log-Lik: -15504.813, Max-Change: 0.00053
Iteration: 41, Log-Lik: -15504.813, Max-Change: 0.00018
Iteration: 42, Log-Lik: -15504.813, Max-Change: 0.00042
Iteration: 43, Log-Lik: -15504.813, Max-Change: 0.00025
Iteration: 44, Log-Lik: -15504.813, Max-Change: 0.00012
Iteration: 45, Log-Lik: -15504.813, Max-Change: 0.00027
Iteration: 46, Log-Lik: -15504.813, Max-Change: 0.00015
Iteration: 47, Log-Lik: -15504.813, Max-Change: 0.00035
Iteration: 48, Log-Lik: -15504.813, Max-Change: 0.00012
Iteration: 49, Log-Lik: -15504.813, Max-Change: 0.00051
Iteration: 50, Log-Lik: -15504.813, Max-Change: 0.00017
Iteration: 51, Log-Lik: -15504.813, Max-Change: 0.00040
Iteration: 52, Log-Lik: -15504.813, Max-Change: 0.00023
Iteration: 53, Log-Lik: -15504.813, Max-Change: 0.00011
Iteration: 54, Log-Lik: -15504.813, Max-Change: 0.00025
Iteration: 55, Log-Lik: -15504.813, Max-Change: 0.00014
Iteration: 56, Log-Lik: -15504.813, Max-Change: 0.00032
Iteration: 57, Log-Lik: -15504.813, Max-Change: 0.00011
Iteration: 58, Log-Lik: -15504.813, Max-Change: 0.00047
Iteration: 59, Log-Lik: -15504.813, Max-Change: 0.00016
Iteration: 60, Log-Lik: -15504.813, Max-Change: 0.00037
Iteration: 61, Log-Lik: -15504.813, Max-Change: 0.00021
Iteration: 62, Log-Lik: -15504.813, Max-Change: 0.00050
Iteration: 63, Log-Lik: -15504.813, Max-Change: 0.00017
Iteration: 64, Log-Lik: -15504.813, Max-Change: 0.00015
Iteration: 65, Log-Lik: -15504.813, Max-Change: 0.00034
Iteration: 66, Log-Lik: -15504.813, Max-Change: 0.00011
Iteration: 67, Log-Lik: -15504.813, Max-Change: 0.00049
Iteration: 68, Log-Lik: -15504.813, Max-Change: 0.00016
Iteration: 69, Log-Lik: -15504.813, Max-Change: 0.00038
Iteration: 70, Log-Lik: -15504.813, Max-Change: 0.00022
Iteration: 71, Log-Lik: -15504.813, Max-Change: 0.00052
Iteration: 72, Log-Lik: -15504.813, Max-Change: 0.00018
Iteration: 73, Log-Lik: -15504.813, Max-Change: 0.00015
Iteration: 74, Log-Lik: -15504.813, Max-Change: 0.00035
Iteration: 75, Log-Lik: -15504.813, Max-Change: 0.00012
Iteration: 76, Log-Lik: -15504.813, Max-Change: 0.00051
Iteration: 77, Log-Lik: -15504.813, Max-Change: 0.00017
Iteration: 78, Log-Lik: -15504.813, Max-Change: 0.00040
Iteration: 79, Log-Lik: -15504.813, Max-Change: 0.00024
Iteration: 80, Log-Lik: -15504.813, Max-Change: 0.00011
Iteration: 81, Log-Lik: -15504.813, Max-Change: 0.00026
Iteration: 82, Log-Lik: -15504.813, Max-Change: 0.00014
Iteration: 83, Log-Lik: -15504.813, Max-Change: 0.00033
Iteration: 84, Log-Lik: -15504.813, Max-Change: 0.00011
Iteration: 85, Log-Lik: -15504.813, Max-Change: 0.00048
Iteration: 86, Log-Lik: -15504.813, Max-Change: 0.00016
Iteration: 87, Log-Lik: -15504.813, Max-Change: 0.00037
Iteration: 88, Log-Lik: -15504.813, Max-Change: 0.00022
Iteration: 89, Log-Lik: -15504.813, Max-Change: 0.00051
Iteration: 90, Log-Lik: -15504.813, Max-Change: 0.00017
Iteration: 91, Log-Lik: -15504.813, Max-Change: 0.00015
Iteration: 92, Log-Lik: -15504.813, Max-Change: 0.00034
Iteration: 93, Log-Lik: -15504.813, Max-Change: 0.00011
Iteration: 94, Log-Lik: -15504.813, Max-Change: 0.00050
Iteration: 95, Log-Lik: -15504.813, Max-Change: 0.00017
Iteration: 96, Log-Lik: -15504.813, Max-Change: 0.00039
Iteration: 97, Log-Lik: -15504.813, Max-Change: 0.00023
Iteration: 98, Log-Lik: -15504.813, Max-Change: 0.00011
Iteration: 99, Log-Lik: -15504.813, Max-Change: 0.00025
Iteration: 100, Log-Lik: -15504.813, Max-Change: 0.00014
Iteration: 101, Log-Lik: -15504.813, Max-Change: 0.00032
Iteration: 102, Log-Lik: -15504.813, Max-Change: 0.00011
Iteration: 103, Log-Lik: -15504.813, Max-Change: 0.00046
Iteration: 104, Log-Lik: -15504.813, Max-Change: 0.00015
Iteration: 105, Log-Lik: -15504.813, Max-Change: 0.00036
Iteration: 106, Log-Lik: -15504.813, Max-Change: 0.00021
Iteration: 107, Log-Lik: -15504.812, Max-Change: 0.00049
Iteration: 108, Log-Lik: -15504.812, Max-Change: 0.00016
Iteration: 109, Log-Lik: -15504.812, Max-Change: 0.00014
Iteration: 110, Log-Lik: -15504.812, Max-Change: 0.00033
Iteration: 111, Log-Lik: -15504.812, Max-Change: 0.00011
Iteration: 112, Log-Lik: -15504.812, Max-Change: 0.00048
Iteration: 113, Log-Lik: -15504.812, Max-Change: 0.00016
Iteration: 114, Log-Lik: -15504.812, Max-Change: 0.00037
Iteration: 115, Log-Lik: -15504.812, Max-Change: 0.00022
Iteration: 116, Log-Lik: -15504.812, Max-Change: 0.00010
Iteration: 117, Log-Lik: -15504.812, Max-Change: 0.00024
Iteration: 118, Log-Lik: -15504.812, Max-Change: 0.00013
Iteration: 119, Log-Lik: -15504.812, Max-Change: 0.00030
Iteration: 120, Log-Lik: -15504.812, Max-Change: 0.00050
Iteration: 121, Log-Lik: -15504.812, Max-Change: 0.00047
Iteration: 122, Log-Lik: -15504.812, Max-Change: 0.00016
Iteration: 123, Log-Lik: -15504.812, Max-Change: 0.00037
Iteration: 124, Log-Lik: -15504.812, Max-Change: 0.00022
Iteration: 125, Log-Lik: -15504.812, Max-Change: 0.00010
Iteration: 126, Log-Lik: -15504.812, Max-Change: 0.00024
Iteration: 127, Log-Lik: -15504.812, Max-Change: 0.00013
Iteration: 128, Log-Lik: -15504.812, Max-Change: 0.00030
Iteration: 129, Log-Lik: -15504.812, Max-Change: 0.00049
Iteration: 130, Log-Lik: -15504.812, Max-Change: 0.00047
Iteration: 131, Log-Lik: -15504.812, Max-Change: 0.00016
Iteration: 132, Log-Lik: -15504.812, Max-Change: 0.00036
Iteration: 133, Log-Lik: -15504.812, Max-Change: 0.00022
Iteration: 134, Log-Lik: -15504.812, Max-Change: 0.00010
Iteration: 135, Log-Lik: -15504.812, Max-Change: 0.00023
Iteration: 136, Log-Lik: -15504.812, Max-Change: 0.00013
Iteration: 137, Log-Lik: -15504.812, Max-Change: 0.00029
Iteration: 138, Log-Lik: -15504.812, Max-Change: 0.00049
Iteration: 139, Log-Lik: -15504.812, Max-Change: 0.00046
Iteration: 140, Log-Lik: -15504.812, Max-Change: 0.00015
Iteration: 141, Log-Lik: -15504.812, Max-Change: 0.00036
Iteration: 142, Log-Lik: -15504.812, Max-Change: 0.00021
Iteration: 143, Log-Lik: -15504.812, Max-Change: 0.00010
## 
## Calculating information matrix...</code></pre>
<pre><code>## Warning: Could not invert information matrix; model likely is not empirically
## identified.</code></pre>
<pre class="r"><code>#
anova(S1.Rasch.pooled,S1.2PL.pooled)# 2PL </code></pre>
<pre><code>## 
## Model 1: mirt::mirt(data = PolKnow_items_all, model = 1, itemtype = &quot;Rasch&quot;, 
##     SE = TRUE, technical = list(removeEmptyRows = TRUE))
## Model 2: mirt::mirt(data = PolKnow_items_all, model = 1, itemtype = &quot;2PL&quot;, 
##     SE = TRUE, technical = list(removeEmptyRows = TRUE))</code></pre>
<pre><code>##     AIC SABIC    HQ   BIC logLik  X2  df   p
## 1 31803 31848 31844 31914 -15880 NaN NaN NaN
## 2 31126 31211 31205 31338 -15523 715  19   0</code></pre>
<pre class="r"><code>anova(S1.2PL.pooled,S1.3PL.pooled)  # 3PL </code></pre>
<pre><code>## 
## Model 1: mirt::mirt(data = PolKnow_items_all, model = 1, itemtype = &quot;2PL&quot;, 
##     SE = TRUE, technical = list(removeEmptyRows = TRUE))
## Model 2: mirt::mirt(data = PolKnow_items_all, model = 1, itemtype = &quot;3PL&quot;, 
##     SE = TRUE, technical = list(removeEmptyRows = TRUE))</code></pre>
<pre><code>##     AIC SABIC    HQ   BIC logLik  X2  df     p
## 1 31126 31211 31205 31338 -15523 NaN NaN   NaN
## 2 31130 31258 31248 31448 -15505  36  20 0.015</code></pre>
<pre class="r"><code>#
#
library(gridExtra)
library(latticeExtra)
#
#
#mirt::?plot
#
par(family=&quot;Times&quot;)
windowsFonts(A = windowsFont(&quot;Times New Roman&quot;))
key=list(columns=1, text=list(lab=c(&quot;Ihme and Tausendpfund (2018)&quot;,&quot;Replication&quot;)), 
         lines=list(lwd=1, col=c(&quot;blue&quot;,&quot;orange&quot;)))
#
#
# Reliability rxx
# -------------------
plot7b &lt;- plot(S1.2PL.OD, type = &quot;rxx&quot;, facet_items=F, theta_lim = c(-6, 6), key=key, main=&quot;Reliability&quot;, family=&quot;A&quot;)
plot8b &lt;- update(plot(S1.2PL.pooled, type = &quot;rxx&quot;, facet_items=F, theta_lim = c(-6, 6)), col=&quot;orange&quot;, family=&quot;A&quot;)
plot7b + plot8b</code></pre>
<p><img src="data:image/png;base64,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" width="672" /></p>
<pre class="r"><code>#
#
#
# Expected Total Score  (trace)
# ------------------------------
plot9b &lt;- plot(S1.2PL.OD, type = &quot;score&quot;, facet_items=F, theta_lim = c(-6, 6), key=key, main=&quot;Expected Total Score&quot;)
plot10b &lt;- update(plot(S1.2PL.pooled, type = &quot;score&quot;, facet_items=F, theta_lim = c(-6, 6)), col=&quot;orange&quot;)
plot9b + plot10b</code></pre>
<p><img src="data:image/png;base64,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" width="672" /></p>
<pre class="r"><code>#
#
#
# Item Trace Lines  (faceted)
# ------------------------------
plot11b &lt;- plot(S1.2PL.OD, type = &quot;trace&quot;, facet_items=T, theta_lim = c(-6, 6), key=key, main=&quot;Item Trace Lines&quot;)
plot12b &lt;- update(plot(S1.2PL.pooled, type = &quot;trace&quot;, facet_items=T, theta_lim = c(-6, 6)), col=&quot;orange&quot;)
plot11b + plot12b</code></pre>
<p><img src="data:image/png;base64,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" width="672" /></p>
<pre class="r"><code>#
#
#
library(curl)
library(ggplot2)
library(grid)
library(gridExtra)
#
lay = rbind(c(1,3,3),
            c(2,3,3))

print(grid.arrange(arrangeGrob(plot7b + plot8b, left = textGrob(&quot;a)&quot;, x = unit(1, &quot;npc&quot;), 
                                                       y = unit(.95, &quot;npc&quot;))), 
                   arrangeGrob(plot9b + plot10b, left =textGrob(&quot;b)&quot;, x = unit(1, &quot;npc&quot;), 
                                                      y = unit(1, &quot;npc&quot;))),
                   arrangeGrob(plot11b + plot12b, left=textGrob(&quot;c)&quot;, x = unit(1, &quot;npc&quot;), 
                                                     y = unit(.95, &quot;npc&quot;))),
                   layout_matrix = lay))</code></pre>
<p><img src="data:image/png;base64,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" width="672" /></p>
<pre><code>## TableGrob (2 x 3) &quot;arrange&quot;: 3 grobs
##   z     cells    name            grob
## 1 1 (1-1,1-1) arrange gtable[arrange]
## 2 2 (2-2,1-1) arrange gtable[arrange]
## 3 3 (1-2,2-3) arrange gtable[arrange]</code></pre>
</div>
</div>
<div id="supplementary-materials" class="section level1">
<h1>Supplementary Materials</h1>
<div id="reliability-political-knowledge-scale" class="section level2">
<h2>Reliability political knowledge scale</h2>
<pre class="r"><code>cronbach.alpha(PKT_stage1, CI = T)</code></pre>
<pre><code>## 
## Cronbach&#39;s alpha for the &#39;PKT_stage1&#39; data-set
## 
## Items: 20
## Sample units: 671
## alpha: 0.705
## 
## Bootstrap 95% CI based on 1000 samples
##  2.5% 97.5% 
## 0.699 0.711</code></pre>
<pre class="r"><code>cronbach.alpha(PKT_pooled, CI = T)</code></pre>
<pre><code>## 
## Cronbach&#39;s alpha for the &#39;PKT_pooled&#39; data-set
## 
## Items: 20
## Sample units: 1502
## alpha: 0.702
## 
## Bootstrap 95% CI based on 1000 samples
##  2.5% 97.5% 
## 0.697 0.706</code></pre>
</div>
<div id="first-stage-of-data-collection---detailed-results" class="section level2">
<h2>First stage of data collection - detailed results</h2>
<div id="sample-stage-1" class="section level3">
<h3>Sample Stage 1</h3>
<pre><code>## 
##    1    2 
## 2045  455</code></pre>
<pre><code>## 
##    1    2 
## 2025   20</code></pre>
<pre><code>## 
##   No  Yes 
##  899 1126</code></pre>
<pre><code>## 
##          control  gender_question gender_statement 
##              288              303              308</code></pre>
<pre><code>##                   
##                      1   2
##   control          257  31
##   gender_question  281  22
##   gender_statement 277  31</code></pre>
<pre><code>##                   
##                      0   1   2
##   control          212  32  13
##   gender_question  224  45  12
##   gender_statement 236  29  12</code></pre>
<pre><code>##                   
##                      1   2 &lt;NA&gt;
##   control            0   0  212
##   gender_question  115 109    0
##   gender_statement   0   0  236</code></pre>
<pre><code>##                   
##                      1   2 &lt;NA&gt;
##   control           98 114    0
##   gender_question    0   0  224
##   gender_statement 109 127    0</code></pre>
<pre><code>##                   
##                    16 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36
##   control           1  8  0  3  1  1  3  6  5  6  5  6  3  6  6  4  1  6 10  4
##   gender_question   0  8  1  0  3  5  2  2  2  2  2 11  7  9  5  7  2  2  5  6
##   gender_statement  0  4  1  3  1  4  1  2  4  6  9  6  7  9  8  6  6  1  7  8
##                   
##                    37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56
##   control           3  6  1  3  9  6  4  7  4  4  4  2  2  0  1  3  2  2  0  3
##   gender_question   6  6  5 11  3  2  5  2  4  4  2  2  6  1  1  5  4  2  4  7
##   gender_statement  3  3  7  3  6  6  6  3  1  3  6  5  3  4  5  3  2  1  5  2
##                   
##                    57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76
##   control           3  2  2  3  3  4  3  6  4  5  3  3  3  1  1  4  0  1  2  2
##   gender_question   2  3  2  0  3  3  3  2  4  5  2  3  5  0  2  2  7  3  3  2
##   gender_statement  1  2  4  1  2  1  4  1  3  2  5  2  5  5  4  3  7  3  2  3
##                   
##                    77 78 79 80 81 82 85
##   control           1  0  1  0  2  1  1
##   gender_question   1  3  1  0  0  0  0
##   gender_statement  1  2  1  1  0  1  0</code></pre>
<pre><code>## 
##          control  gender_question gender_statement 
##              211              224              236</code></pre>
</div>
<div id="frequency-of-participants-per-conditions" class="section level3">
<h3>Frequency of participants per conditions</h3>
<p>Table S2</p>
<pre><code>## 
##    No   Yes 
## 0.602 0.398</code></pre>
<pre><code>## 
## Female   Male 
##   0.48   0.52</code></pre>
<pre><code>## , ,  = No
## 
##         
##          control gender_question gender_statement
##   Female  0.0999          0.1148           0.1148
##   Male    0.0879          0.0969           0.0879
## 
## , ,  = Yes
## 
##         
##          control gender_question gender_statement
##   Female  0.0462          0.0566           0.0477
##   Male    0.0805          0.0656           0.1013</code></pre>
</div>
<div id="statistical-analyses" class="section level3">
<h3>Statistical analyses</h3>
<p>Table S3</p>
<pre class="r"><code># 2 (gender: male vs female) × 2 (field of work/study: Political vs Non-Political) × 3 (Gender Stereotype Activation: stereotype not activated vs. stereotype activated by gender-question vs. stereotype activated by gender difference statement) ANOVA with participants’ score in the political knowledge test as the dependent variable. 

aov &lt;- aov(polknowledge ~ gender*Politics*condition, data_stage1)
aovfit &lt;- car::Anova(aov, digits = 3, type = 3)
aovfit</code></pre>
<pre><code>## Anova Table (Type III tests)
## 
## Response: polknowledge
##                           Sum Sq  Df F value Pr(&gt;F)    
## (Intercept)                 3424   1  239.02 &lt;2e-16 ***
## gender                        85   1    5.94  0.015 *  
## Politics                       0   1    0.00  0.949    
## condition                      5   2    0.18  0.839    
## gender:Politics               61   1    4.23  0.040 *  
## gender:condition              10   2    0.33  0.716    
## Politics:condition            67   2    2.33  0.098 .  
## gender:Politics:condition     59   2    2.05  0.129    
## Residuals                   9442 659                   
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1</code></pre>
<pre class="r"><code>#sjstats::anova_stats(aovfit, digits = 3, partial = T)
sjstats::eta_sq(aovfit, partial = T, ci.lvl = .95)</code></pre>
<pre><code>## Warning: &#39;sjstats::eta_sq&#39; is deprecated.
## Use &#39;effectsize::eta_squared()&#39; instead.
## See help(&quot;Deprecated&quot;)</code></pre>
<pre><code>## Type 3 ANOVAs only give sensible and informative results when covariates are
##   mean-centered and factors are coded with orthogonal contrasts (such as those
##   produced by &#39;contr.sum&#39;, &#39;contr.poly&#39;, or &#39;contr.helmert&#39;, but *not* by the
##   default &#39;contr.treatment&#39;).</code></pre>
<pre><code>## # Effect Size for ANOVA (Type III)
## 
## Parameter                 | Eta2 (partial) |       95% CI
## ---------------------------------------------------------
## gender                    |       8.94e-03 | [0.00, 1.00]
## Politics                  |       6.18e-06 | [0.00, 1.00]
## condition                 |       5.32e-04 | [0.00, 1.00]
## gender:Politics           |       6.37e-03 | [0.00, 1.00]
## gender:condition          |       1.01e-03 | [0.00, 1.00]
## Politics:condition        |       7.03e-03 | [0.00, 1.00]
## gender:Politics:condition |       6.20e-03 | [0.00, 1.00]
## 
## - One-sided CIs: upper bound fixed at (1).</code></pre>
<pre class="r"><code>apa.aov.table(
aov,
&quot;sample1_h1.doc&quot;,
table.number = NA,
conf.level = 0.95,
type = 3
)</code></pre>
<pre><code>## 
## 
## ANOVA results using polknowledge as the dependent variable
##  
## 
##                      Predictor      SS  df      MS      F    p partial_eta2
##                    (Intercept) 3424.49   1 3424.49 239.02 .000             
##                         gender   85.14   1   85.14   5.94 .015          .01
##                       Politics    0.06   1    0.06   0.00 .949          .00
##                      condition    5.02   2    2.51   0.18 .839          .00
##              gender x Politics   60.56   1   60.56   4.23 .040          .01
##             gender x condition    9.58   2    4.79   0.33 .716          .00
##           Politics x condition   66.82   2   33.41   2.33 .098          .01
##  gender x Politics x condition   58.88   2   29.44   2.05 .129          .01
##                          Error 9441.79 659   14.33                         
##  CI_95_partial_eta2
##                    
##          [.00, .03]
##         [.00, 1.00]
##          [.00, .01]
##          [.00, .02]
##          [.00, .01]
##          [.00, .02]
##          [.00, .02]
##                    
## 
## Note: Values in square brackets indicate the bounds of the 95% confidence interval for partial eta-squared</code></pre>
<p>Table S4</p>
<pre class="r"><code># 2 (gender) × 2 (field of work/study) × 3 (Gender Stereotype Activation) ANCOVA. The dependent variable was participants’ total score on the political knowledge test. As in the original study, a single score of political interest was calculated per participant (i.e., average of responses in the short scale of political interest) and included as a covariate.

ancova &lt;- aov(polknowledge ~ polinterest + gender*Politics*condition, data_stage1)
ancovafit &lt;- car::Anova(ancova, type = 3)
ancovafit</code></pre>
<pre><code>## Anova Table (Type III tests)
## 
## Response: polknowledge
##                           Sum Sq  Df F value  Pr(&gt;F)    
## (Intercept)                  522   1   42.11 1.7e-10 ***
## polinterest                 1288   1  103.96 &lt; 2e-16 ***
## gender                        29   1    2.31   0.129    
## Politics                      15   1    1.24   0.266    
## condition                     16   2    0.65   0.525    
## gender:Politics               77   1    6.22   0.013 *  
## gender:condition              17   2    0.69   0.501    
## Politics:condition            81   2    3.27   0.039 *  
## gender:Politics:condition     78   2    3.16   0.043 *  
## Residuals                   8154 658                    
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1</code></pre>
<pre class="r"><code>#sjstats::anova_stats(ancovafit)
sjstats::eta_sq(ancovafit, partial = T, ci.lvl = .95)</code></pre>
<pre><code>## Warning: &#39;sjstats::eta_sq&#39; is deprecated.
## Use &#39;effectsize::eta_squared()&#39; instead.
## See help(&quot;Deprecated&quot;)</code></pre>
<pre><code>## Type 3 ANOVAs only give sensible and informative results when covariates are
##   mean-centered and factors are coded with orthogonal contrasts (such as those
##   produced by &#39;contr.sum&#39;, &#39;contr.poly&#39;, or &#39;contr.helmert&#39;, but *not* by the
##   default &#39;contr.treatment&#39;).</code></pre>
<pre><code>## # Effect Size for ANOVA (Type III)
## 
## Parameter                 | Eta2 (partial) |       95% CI
## ---------------------------------------------------------
## polinterest               |           0.14 | [0.10, 1.00]
## gender                    |       3.50e-03 | [0.00, 1.00]
## Politics                  |       1.88e-03 | [0.00, 1.00]
## condition                 |       1.96e-03 | [0.00, 1.00]
## gender:Politics           |       9.36e-03 | [0.00, 1.00]
## gender:condition          |       2.10e-03 | [0.00, 1.00]
## Politics:condition        |       9.84e-03 | [0.00, 1.00]
## gender:Politics:condition |       9.53e-03 | [0.00, 1.00]
## 
## - One-sided CIs: upper bound fixed at (1).</code></pre>
<pre class="r"><code>apa.aov.table(
ancova,
&quot;sample1_h2.doc&quot;,
table.number = NA,
conf.level = 0.95,
type = 3
)</code></pre>
<pre><code>## 
## 
## ANOVA results using polknowledge as the dependent variable
##  
## 
##                      Predictor      SS  df      MS      F    p partial_eta2
##                    (Intercept)  521.80   1  521.80  42.11 .000             
##                    polinterest 1288.20   1 1288.20 103.96 .000          .14
##                         gender   28.62   1   28.62   2.31 .129          .00
##                       Politics   15.38   1   15.38   1.24 .266          .00
##                      condition   15.99   2    8.00   0.65 .525          .00
##              gender x Politics   77.02   1   77.02   6.22 .013          .01
##             gender x condition   17.12   2    8.56   0.69 .501          .00
##           Politics x condition   81.07   2   40.53   3.27 .039          .01
##  gender x Politics x condition   78.42   2   39.21   3.16 .043          .01
##                          Error 8153.59 658   12.39                         
##  CI_95_partial_eta2
##                    
##          [.09, .18]
##          [.00, .02]
##          [.00, .01]
##          [.00, .01]
##          [.00, .03]
##          [.00, .01]
##          [.00, .03]
##          [.00, .03]
##                    
## 
## Note: Values in square brackets indicate the bounds of the 95% confidence interval for partial eta-squared</code></pre>
<pre class="r"><code># Bonferroni-corrected pairwise comparisons of gender X Politics interaction with the emmeans function in R (Lenth et al. 2018).
ancova &lt;- aov(polknowledge ~ polinterest + gender*Politics*condition, data_stage1)
emmeans.ancova &lt;- emmeans(ancova, specs = c(&quot;gender&quot;, &quot;Politics&quot;))</code></pre>
<pre><code>## NOTE: Results may be misleading due to involvement in interactions</code></pre>
<pre class="r"><code>emmeans.ancova </code></pre>
<pre><code>##  gender Politics emmean    SE  df lower.CL upper.CL
##  Female No         7.44 0.242 658     6.96     7.91
##  Male   No         8.98 0.261 658     8.46     9.49
##  Female Yes        8.11 0.352 658     7.42     8.80
##  Male   Yes       10.18 0.283 658     9.63    10.74
## 
## Results are averaged over the levels of: condition 
## Confidence level used: 0.95</code></pre>
<pre class="r"><code>contrast &lt;- contrast(emmeans.ancova, &quot;pairwise&quot;, 
                        simple = &quot;Politics&quot;, # &quot;each&quot; gives all contrasts
                        combine = F, 
                        adjust = &quot;bonferroni&quot;)

contrast</code></pre>
<pre><code>## gender = Female:
##  contrast estimate    SE  df t.ratio p.value
##  No - Yes   -0.676 0.429 658  -1.575  0.1157
## 
## gender = Male:
##  contrast estimate    SE  df t.ratio p.value
##  No - Yes   -1.208 0.385 658  -3.133  0.0018
## 
## Results are averaged over the levels of: condition</code></pre>
<pre class="r"><code># Bonferroni-corrected pairwise comparisons of Politics X condition interaction with the emmeans function in R (Lenth et al. 2018).
ancova &lt;- aov(polknowledge ~ polinterest + gender*Politics*condition, data_stage1)
emmeans.ancova &lt;- emmeans(ancova, specs = c(&quot;condition&quot;, &quot;Politics&quot;))</code></pre>
<pre><code>## NOTE: Results may be misleading due to involvement in interactions</code></pre>
<pre class="r"><code>emmeans.ancova </code></pre>
<pre><code>##  condition        Politics emmean    SE  df lower.CL upper.CL
##  control          No         8.24 0.315 658     7.62     8.86
##  gender_question  No         7.94 0.298 658     7.36     8.53
##  gender_statement No         8.44 0.306 658     7.84     9.04
##  control          Yes        8.64 0.399 658     7.86     9.43
##  gender_question  Yes        9.16 0.392 658     8.39     9.93
##  gender_statement Yes        9.64 0.379 658     8.90    10.38
## 
## Results are averaged over the levels of: gender 
## Confidence level used: 0.95</code></pre>
<pre class="r"><code>contrast &lt;- contrast(emmeans.ancova, &quot;pairwise&quot;, 
                        simple = &quot;Politics&quot;, # &quot;each&quot; gives all contrasts
                        combine = F, 
                        adjust = &quot;bonferroni&quot;)

contrast</code></pre>
<pre><code>## condition = control:
##  contrast estimate    SE  df t.ratio p.value
##  No - Yes   -0.406 0.510 658  -0.795  0.4270
## 
## condition = gender_question:
##  contrast estimate    SE  df t.ratio p.value
##  No - Yes   -1.221 0.494 658  -2.470  0.0140
## 
## condition = gender_statement:
##  contrast estimate    SE  df t.ratio p.value
##  No - Yes   -1.199 0.488 658  -2.456  0.0140
## 
## Results are averaged over the levels of: gender</code></pre>
<pre class="r"><code># Bonferroni-corrected pairwise comparisons of gender X Politics x condition interaction with the emmeans function in R (Lenth et al. 2018).
ancova &lt;- aov(polknowledge ~ polinterest + gender*Politics*condition, data_stage1)
emmeans.ancova &lt;- emmeans(ancova, specs = c(&quot;gender&quot;, &quot;Politics&quot;, &quot;condition&quot;))
emmeans.ancova </code></pre>
<pre><code>##  gender Politics condition        emmean    SE  df lower.CL upper.CL
##  Female No       control            7.76 0.434 658     6.90     8.61
##  Male   No       control            8.72 0.458 658     7.82     9.62
##  Female Yes      control            6.90 0.633 658     5.66     8.14
##  Male   Yes      control           10.39 0.483 658     9.44    11.33
##  Female No       gender_question    7.09 0.402 658     6.30     7.88
##  Male   No       gender_question    8.79 0.437 658     7.94     9.65
##  Female Yes      gender_question    8.76 0.572 658     7.64     9.88
##  Male   Yes      gender_question    9.57 0.534 658     8.52    10.61
##  Female No       gender_statement   7.46 0.404 658     6.67     8.26
##  Male   No       gender_statement   9.42 0.458 658     8.52    10.32
##  Female Yes      gender_statement   8.68 0.622 658     7.45     9.90
##  Male   Yes      gender_statement  10.60 0.430 658     9.76    11.44
## 
## Confidence level used: 0.95</code></pre>
<pre class="r"><code>contrast &lt;- contrast(emmeans.ancova, &quot;pairwise&quot;, 
                        simple = &quot;gender&quot;, # &quot;each&quot; gives all contrasts
                        combine = F, 
                        adjust = &quot;bonferroni&quot;)

contrast</code></pre>
<pre><code>## Politics = No, condition = control:
##  contrast      estimate    SE  df t.ratio p.value
##  Female - Male    -0.96 0.632 658  -1.520  0.1290
## 
## Politics = Yes, condition = control:
##  contrast      estimate    SE  df t.ratio p.value
##  Female - Male    -3.48 0.794 658  -4.390  &lt;.0001
## 
## Politics = No, condition = gender_question:
##  contrast      estimate    SE  df t.ratio p.value
##  Female - Male    -1.70 0.593 658  -2.870  0.0042
## 
## Politics = Yes, condition = gender_question:
##  contrast      estimate    SE  df t.ratio p.value
##  Female - Male    -0.80 0.780 658  -1.030  0.3031
## 
## Politics = No, condition = gender_statement:
##  contrast      estimate    SE  df t.ratio p.value
##  Female - Male    -1.95 0.610 658  -3.200  0.0014
## 
## Politics = Yes, condition = gender_statement:
##  contrast      estimate    SE  df t.ratio p.value
##  Female - Male    -1.92 0.755 658  -2.550  0.0111</code></pre>
</div>
</div>
<div id="detailed-results-for-the-pooled-data" class="section level2">
<h2>Detailed results for the pooled data</h2>
<div id="sample-stage-2" class="section level3">
<h3>Sample Stage 2</h3>
<pre><code>## 
##    1    2 
## 1500  125</code></pre>
<pre><code>## 
##    1    2 
## 1487   13</code></pre>
<pre><code>## 
##   No  Yes 
## 1407   80</code></pre>
<pre><code>## 
##          control  gender_question gender_statement 
##              481              471              455</code></pre>
<pre><code>##    
##     control gender_question gender_statement
##   0     108              92               93
##   1     373             379              362</code></pre>
<pre><code>##                   
##                      1   2
##   control          346  27
##   gender_question  330  49
##   gender_statement 333  29</code></pre>
<pre><code>##                   
##                      0   1   2
##   control          285  43  18
##   gender_question  268  46  16
##   gender_statement 282  36  15</code></pre>
<pre><code>##                   
##                      1   2   3 &lt;NA&gt;
##   control            0   0   0  285
##   gender_question  124 143   1    0
##   gender_statement   0   0   0  282</code></pre>
<pre><code>##                   
##                      1   2   3 &lt;NA&gt;
##   control          136 149   0    0
##   gender_question    0   0   0  268
##   gender_statement 150 130   2    0</code></pre>
<pre><code>##                   
##                    0.59  6 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34
##   control             0  0 10  1  3  6  0  5  1  3  5  7  5  6  9  4  6  7  7
##   gender_question     1  0 13  4  1  3  2  5  3  1  4  6  8  5  5  3 13  6  6
##   gender_statement    0  1 12  2  3  5  4  3  3  7  3  1  5  6 13 10  5  5  7
##                   
##                    35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54
##   control           5  6  4  4  5  4  5  2  4  4  5  3  4  2  1  9  2  3  7  4
##   gender_question  11  4  8  6  6  4  4  4  3  7  2  2  3  4  7  2  4  2  1  4
##   gender_statement  6  6  4  4  3  8  4  3  2  6  3  0  2  4  8  8  5  7  1  1
##                   
##                    55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74
##   control           7  7  2  8  5  4  3  5  5 12  1  2  3  9  9  5  4  4  3  4
##   gender_question   2  4  4  7  1  2  3  2  5  6  4  6  4  7  8  2  4  4  3  4
##   gender_statement  2  1  5  4  5  6  5  3  4  3  2  5  6  6  7  7  4  3  8  2
##                   
##                    75 76 77 78 79 80 83 84 85
##   control           6  2  2  2  1  1  1  0  0
##   gender_question   0  1  2  2  1  0  0  1  1
##   gender_statement  2  5  1  2  1  0  1  0  0</code></pre>
<pre><code>## 
##          control  gender_question gender_statement 
##              285              267              279</code></pre>
</div>
<div id="frequency-of-participants-per-conditions-1" class="section level3">
<h3>Frequency of participants per conditions</h3>
<p>Table S5</p>
<pre><code>## 
##    No   Yes 
## 0.603 0.397</code></pre>
<pre><code>## 
## Female   Male 
##  0.487  0.513</code></pre>
<pre><code>## , ,  = No
## 
##         
##          control gender_question gender_statement
##   Female  0.1105          0.1072           0.1192
##   Male    0.0959          0.0846           0.0852
## 
## , ,  = Yes
## 
##         
##          control gender_question gender_statement
##   Female  0.0453          0.0519           0.0533
##   Male    0.0786          0.0832           0.0852</code></pre>
</div>
<div id="statistical-analyses-1" class="section level3">
<h3>Statistical analyses</h3>
<p>Table S6</p>
<pre class="r"><code># 2 (gender: male vs female) × 2 (field of work/study: Political vs Non-Political) × 3 (Gender Stereotype Activation: stereotype not activated vs. stereotype activated by gender-question vs. stereotype activated by gender difference statement) ANOVA with participants’ score in the political knowledge test as the dependent variable. 

aov &lt;- aov(polknowledge ~ gender*Politics*condition, data_pooled)
aovfit &lt;- car::Anova(aov, digits = 3, type = 3)
aovfit</code></pre>
<pre><code>## Anova Table (Type III tests)
## 
## Response: polknowledge
##                           Sum Sq   Df F value  Pr(&gt;F)    
## (Intercept)                 7719    1  574.20 &lt; 2e-16 ***
## gender                       448    1   33.31 9.5e-09 ***
## Politics                      27    1    2.04    0.15    
## condition                      3    2    0.10    0.90    
## gender:Politics               16    1    1.22    0.27    
## gender:condition              31    2    1.15    0.32    
## Politics:condition            32    2    1.19    0.30    
## gender:Politics:condition      9    2    0.32    0.73    
## Residuals                  20031 1490                    
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1</code></pre>
<pre class="r"><code>#sjstats::anova_stats(aovfit, digits = 3, partial = T)
sjstats::eta_sq(aovfit, partial = T, ci.lvl = .95)</code></pre>
<pre><code>## Warning: &#39;sjstats::eta_sq&#39; is deprecated.
## Use &#39;effectsize::eta_squared()&#39; instead.
## See help(&quot;Deprecated&quot;)</code></pre>
<pre><code>## Type 3 ANOVAs only give sensible and informative results when covariates are
##   mean-centered and factors are coded with orthogonal contrasts (such as those
##   produced by &#39;contr.sum&#39;, &#39;contr.poly&#39;, or &#39;contr.helmert&#39;, but *not* by the
##   default &#39;contr.treatment&#39;).</code></pre>
<pre><code>## # Effect Size for ANOVA (Type III)
## 
## Parameter                 | Eta2 (partial) |       95% CI
## ---------------------------------------------------------
## gender                    |           0.02 | [0.01, 1.00]
## Politics                  |       1.37e-03 | [0.00, 1.00]
## condition                 |       1.41e-04 | [0.00, 1.00]
## gender:Politics           |       8.20e-04 | [0.00, 1.00]
## gender:condition          |       1.55e-03 | [0.00, 1.00]
## Politics:condition        |       1.60e-03 | [0.00, 1.00]
## gender:Politics:condition |       4.25e-04 | [0.00, 1.00]
## 
## - One-sided CIs: upper bound fixed at (1).</code></pre>
<pre class="r"><code>apa.aov.table(
aov,
&quot;sample2_h1.doc&quot;,
table.number = NA,
conf.level = 0.95,
type = 3
)</code></pre>
<pre><code>## 
## 
## ANOVA results using polknowledge as the dependent variable
##  
## 
##                      Predictor       SS   df      MS      F    p partial_eta2
##                    (Intercept)  7719.42    1 7719.42 574.20 .000             
##                         gender   447.82    1  447.82  33.31 .000          .02
##                       Politics    27.44    1   27.44   2.04 .153          .00
##                      condition     2.82    2    1.41   0.10 .900          .00
##              gender x Politics    16.44    1   16.44   1.22 .269          .00
##             gender x condition    31.00    2   15.50   1.15 .316          .00
##           Politics x condition    32.13    2   16.07   1.19 .303          .00
##  gender x Politics x condition     8.51    2    4.25   0.32 .729          .00
##                          Error 20031.08 1490   13.44                         
##  CI_95_partial_eta2
##                    
##          [.01, .04]
##          [.00, .01]
##          [.00, .00]
##          [.00, .01]
##          [.00, .01]
##          [.00, .01]
##          [.00, .00]
##                    
## 
## Note: Values in square brackets indicate the bounds of the 95% confidence interval for partial eta-squared</code></pre>
<p>Table S7</p>
<pre class="r"><code># 2 (gender) × 2 (field of work/study) × 3 (Gender Stereotype Activation) ANCOVA. The dependent variable was participants’ total score on the political knowledge test. As in the original study, a single score of political interest was calculated per participant (i.e., average of responses in the short scale of political interest) and included as a covariate.

ancova &lt;- aov(polknowledge ~ polinterest + gender*Politics*condition, data_pooled)
ancovafit &lt;- car::Anova(ancova, type = 3)
ancovafit</code></pre>
<pre><code>## Anova Table (Type III tests)
## 
## Response: polknowledge
##                           Sum Sq   Df F value Pr(&gt;F)    
## (Intercept)                 1158    1   97.33 &lt;2e-16 ***
## polinterest                 2317    1  194.78 &lt;2e-16 ***
## gender                       340    1   28.61  1e-07 ***
## Politics                       1    1    0.12   0.72    
## condition                      6    2    0.27   0.77    
## gender:Politics               13    1    1.05   0.31    
## gender:condition              29    2    1.22   0.30    
## Politics:condition            27    2    1.13   0.32    
## gender:Politics:condition      5    2    0.22   0.81    
## Residuals                  17714 1489                   
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1</code></pre>
<pre class="r"><code>#sjstats::anova_stats(ancovafit)
sjstats::eta_sq(ancovafit, partial = T, ci.lvl = .95)</code></pre>
<pre><code>## Warning: &#39;sjstats::eta_sq&#39; is deprecated.
## Use &#39;effectsize::eta_squared()&#39; instead.
## See help(&quot;Deprecated&quot;)</code></pre>
<pre><code>## Type 3 ANOVAs only give sensible and informative results when covariates are
##   mean-centered and factors are coded with orthogonal contrasts (such as those
##   produced by &#39;contr.sum&#39;, &#39;contr.poly&#39;, or &#39;contr.helmert&#39;, but *not* by the
##   default &#39;contr.treatment&#39;).</code></pre>
<pre><code>## # Effect Size for ANOVA (Type III)
## 
## Parameter                 | Eta2 (partial) |       95% CI
## ---------------------------------------------------------
## polinterest               |           0.12 | [0.09, 1.00]
## gender                    |           0.02 | [0.01, 1.00]
## Politics                  |       8.33e-05 | [0.00, 1.00]
## condition                 |       3.58e-04 | [0.00, 1.00]
## gender:Politics           |       7.06e-04 | [0.00, 1.00]
## gender:condition          |       1.63e-03 | [0.00, 1.00]
## Politics:condition        |       1.51e-03 | [0.00, 1.00]
## gender:Politics:condition |       2.90e-04 | [0.00, 1.00]
## 
## - One-sided CIs: upper bound fixed at (1).</code></pre>
<pre class="r"><code>apa.aov.table(
ancova,
&quot;sample2_h2.doc&quot;,
table.number = NA,
conf.level = 0.95,
type = 3
)</code></pre>
<pre><code>## 
## 
## ANOVA results using polknowledge as the dependent variable
##  
## 
##                      Predictor       SS   df      MS      F    p partial_eta2
##                    (Intercept)  1157.90    1 1157.90  97.33 .000             
##                    polinterest  2317.15    1 2317.15 194.78 .000          .12
##                         gender   340.33    1  340.33  28.61 .000          .02
##                       Politics     1.48    1    1.48   0.12 .725          .00
##                      condition     6.34    2    3.17   0.27 .766          .00
##              gender x Politics    12.51    1   12.51   1.05 .305          .00
##             gender x condition    28.92    2   14.46   1.22 .297          .00
##           Politics x condition    26.82    2   13.41   1.13 .324          .00
##  gender x Politics x condition     5.15    2    2.58   0.22 .806          .00
##                          Error 17713.93 1489   11.90                         
##  CI_95_partial_eta2
##                    
##          [.09, .15]
##          [.01, .03]
##          [.00, .00]
##          [.00, .00]
##          [.00, .01]
##          [.00, .01]
##          [.00, .01]
##          [.00, .00]
##                    
## 
## Note: Values in square brackets indicate the bounds of the 95% confidence interval for partial eta-squared</code></pre>
<pre class="r"><code># 2 x 2 x 3 ANCOVA with original data

ancova &lt;- aov(PolWis_score ~ PolInt_score + gender_alle*field_of_study*Stereotypaktivierung, originaldata)
ancovafit &lt;- car::Anova(ancova, type = 3)
ancovafit</code></pre>
<pre><code>## Anova Table (Type III tests)
## 
## Response: PolWis_score
##                                                 Sum Sq  Df F value Pr(&gt;F)    
## (Intercept)                                         83   1    7.45 0.0067 ** 
## PolInt_score                                      1113   1  100.11 &lt;2e-16 ***
## gender_alle                                          2   1    0.21 0.6454    
## field_of_study                                       1   1    0.10 0.7521    
## Stereotypaktivierung                                97   1    8.74 0.0033 ** 
## gender_alle:field_of_study                          10   1    0.86 0.3542    
## gender_alle:Stereotypaktivierung                    94   1    8.48 0.0038 ** 
## field_of_study:Stereotypaktivierung                  0   1    0.04 0.8343    
## gender_alle:field_of_study:Stereotypaktivierung      1   1    0.09 0.7666    
## Residuals                                         4093 368                   
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1</code></pre>
<pre class="r"><code>#sjstats::anova_stats(ancovafit)
sjstats::eta_sq(ancovafit, partial = T, ci.lvl = .95)</code></pre>
<pre><code>## Warning: &#39;sjstats::eta_sq&#39; is deprecated.
## Use &#39;effectsize::eta_squared()&#39; instead.
## See help(&quot;Deprecated&quot;)</code></pre>
<pre><code>## Type 3 ANOVAs only give sensible and informative results when covariates are
##   mean-centered and factors are coded with orthogonal contrasts (such as those
##   produced by &#39;contr.sum&#39;, &#39;contr.poly&#39;, or &#39;contr.helmert&#39;, but *not* by the
##   default &#39;contr.treatment&#39;).</code></pre>
<pre><code>## # Effect Size for ANOVA (Type III)
## 
## Parameter                                       | Eta2 (partial) |       95% CI
## -------------------------------------------------------------------------------
## PolInt_score                                    |           0.21 | [0.16, 1.00]
## gender_alle                                     |       5.76e-04 | [0.00, 1.00]
## field_of_study                                  |       2.72e-04 | [0.00, 1.00]
## Stereotypaktivierung                            |           0.02 | [0.00, 1.00]
## gender_alle:field_of_study                      |       2.33e-03 | [0.00, 1.00]
## gender_alle:Stereotypaktivierung                |           0.02 | [0.00, 1.00]
## field_of_study:Stereotypaktivierung             |       1.19e-04 | [0.00, 1.00]
## gender_alle:field_of_study:Stereotypaktivierung |       2.40e-04 | [0.00, 1.00]
## 
## - One-sided CIs: upper bound fixed at (1).</code></pre>
<pre class="r"><code>apa.aov.table(
ancova,
&quot;original_h2.doc&quot;,
table.number = NA,
conf.level = 0.95,
type = 3
)</code></pre>
<pre><code>## 
## 
## ANOVA results using PolWis_score as the dependent variable
##  
## 
##                                            Predictor      SS  df      MS      F
##                                          (Intercept)   82.83   1   82.83   7.45
##                                         PolInt_score 1113.40   1 1113.40 100.11
##                                          gender_alle    2.36   1    2.36   0.21
##                                       field_of_study    1.11   1    1.11   0.10
##                                 Stereotypaktivierung   97.18   1   97.18   8.74
##                         gender_alle x field_of_study    9.57   1    9.57   0.86
##                   gender_alle x Stereotypaktivierung   94.32   1   94.32   8.48
##                field_of_study x Stereotypaktivierung    0.49   1    0.49   0.04
##  gender_alle x field_of_study x Stereotypaktivierung    0.98   1    0.98   0.09
##                                                Error 4092.88 368   11.12       
##     p partial_eta2 CI_95_partial_eta2
##  .007                                
##  .000          .21         [.14, .28]
##  .645          .00         [.00, .02]
##  .752          .00         [.00, .01]
##  .003          .02         [.00, .06]
##  .354          .00         [.00, .02]
##  .004          .02         [.00, .06]
##  .834          .00         [.00, .01]
##  .767          .00         [.00, .01]
##                                      
## 
## Note: Values in square brackets indicate the bounds of the 95% confidence interval for partial eta-squared</code></pre>
<pre class="r"><code># Bonferroni-corrected pairwise comparisons of gender X Politics interaction with the emmeans function in R (Lenth et al. 2018).
ancova &lt;- aov(polknowledge ~ polinterest + gender*Politics*condition, data_pooled)
emmeans.ancova &lt;- emmeans(ancova, specs = c(&quot;gender&quot;, &quot;condition&quot;))</code></pre>
<pre><code>## NOTE: Results may be misleading due to involvement in interactions</code></pre>
<pre class="r"><code>emmeans.ancova </code></pre>
<pre><code>##  gender condition        emmean    SE   df lower.CL upper.CL
##  Female control            7.28 0.248 1489     6.79     7.77
##  Male   control            9.72 0.215 1489     9.30    10.14
##  Female gender_question    7.93 0.238 1489     7.47     8.40
##  Male   gender_question    9.34 0.218 1489     8.92     9.77
##  Female gender_statement   7.89 0.232 1489     7.44     8.35
##  Male   gender_statement   9.80 0.216 1489     9.38    10.23
## 
## Results are averaged over the levels of: Politics 
## Confidence level used: 0.95</code></pre>
<pre class="r"><code>contrast &lt;- contrast(emmeans.ancova, &quot;pairwise&quot;, 
                        simple = &quot;condition&quot;, # &quot;each&quot; gives all contrasts
                        combine = F, 
                        adjust = &quot;bonferroni&quot;)

contrast</code></pre>
<pre><code>## gender = Female:
##  contrast                           estimate    SE   df t.ratio p.value
##  control - gender_question            -0.652 0.344 1489  -1.895  0.1750
##  control - gender_statement           -0.611 0.340 1489  -1.799  0.2170
##  gender_question - gender_statement    0.040 0.332 1489   0.122  1.0000
## 
## gender = Male:
##  contrast                           estimate    SE   df t.ratio p.value
##  control - gender_question             0.379 0.305 1489   1.242  0.6440
##  control - gender_statement           -0.080 0.304 1489  -0.264  1.0000
##  gender_question - gender_statement   -0.459 0.306 1489  -1.499  0.4020
## 
## Results are averaged over the levels of: Politics 
## P value adjustment: bonferroni method for 3 tests</code></pre>
<pre class="r"><code>## One-tailed t-tests like in the original paper
# WOMEN
# control - question
t.test(data_pooled[which(data_pooled$condition != &quot;gender_question&quot; &amp; data_pooled$gender == &quot;Female&quot;),]$polknowledge ~ data_pooled[which(data_pooled$condition != &quot;gender_question&quot; &amp; data_pooled$gender == &quot;Female&quot;),]$condition,
       alternative = &quot;less&quot;)</code></pre>
<pre><code>## 
##  Welch Two Sample t-test
## 
## data:  data_pooled[which(data_pooled$condition != &quot;gender_question&quot; &amp; data_pooled$gender == &quot;Female&quot;), ]$polknowledge by data_pooled[which(data_pooled$condition != &quot;gender_question&quot; &amp; data_pooled$gender == &quot;Female&quot;), ]$condition
## t = -1, df = 486, p-value = 0.08
## alternative hypothesis: true difference in means between group control and group gender_statement is less than 0
## 95 percent confidence interval:
##    -Inf 0.0738
## sample estimates:
##          mean in group control mean in group gender_statement 
##                           7.04                           7.52</code></pre>
<pre class="r"><code>#
effectsize::cohens_d(data_pooled[which(data_pooled$condition != &quot;gender_question&quot; &amp; data_pooled$gender == &quot;Female&quot;),]$polknowledge ~ data_pooled[which(data_pooled$condition != &quot;gender_question&quot; &amp; data_pooled$gender == &quot;Female&quot;),]$condition,
       alternative = &quot;less&quot;)</code></pre>
<pre><code>## Cohen&#39;s d |       95% CI
## ------------------------
## -0.13     | [-Inf, 0.02]
## 
## - Estimated using pooled SD.
## - One-sided CIs: lower bound fixed at (-Inf).</code></pre>
<pre class="r"><code># control - statement
t.test(data_pooled[which(data_pooled$condition != &quot;gender_statement&quot; &amp; data_pooled$gender == &quot;Female&quot;),]$polknowledge ~ data_pooled[which(data_pooled$condition != &quot;gender_statement&quot; &amp; data_pooled$gender == &quot;Female&quot;),]$condition,
       alternative = &quot;less&quot;)</code></pre>
<pre><code>## 
##  Welch Two Sample t-test
## 
## data:  data_pooled[which(data_pooled$condition != &quot;gender_statement&quot; &amp; data_pooled$gender == &quot;Female&quot;), ]$polknowledge by data_pooled[which(data_pooled$condition != &quot;gender_statement&quot; &amp; data_pooled$gender == &quot;Female&quot;), ]$condition
## t = -1, df = 465, p-value = 0.09
## alternative hypothesis: true difference in means between group control and group gender_question is less than 0
## 95 percent confidence interval:
##  -Inf 0.09
## sample estimates:
##         mean in group control mean in group gender_question 
##                          7.04                          7.49</code></pre>
<pre class="r"><code>#
effectsize::cohens_d(data_pooled[which(data_pooled$condition != &quot;gender_statement&quot; &amp; data_pooled$gender == &quot;Female&quot;),]$polknowledge ~ data_pooled[which(data_pooled$condition != &quot;gender_statement&quot; &amp; data_pooled$gender == &quot;Female&quot;),]$condition,
       alternative = &quot;less&quot;)</code></pre>
<pre><code>## Cohen&#39;s d |       95% CI
## ------------------------
## -0.13     | [-Inf, 0.03]
## 
## - Estimated using pooled SD.
## - One-sided CIs: lower bound fixed at (-Inf).</code></pre>
<pre class="r"><code># MEN
# control - question
t.test(data_pooled[which(data_pooled$condition != &quot;gender_question&quot; &amp; data_pooled$gender == &quot;Male&quot;),]$polknowledge ~ data_pooled[which(data_pooled$condition != &quot;gender_question&quot; &amp; data_pooled$gender == &quot;Male&quot;),]$condition,
       alternative = &quot;greater&quot;)</code></pre>
<pre><code>## 
##  Welch Two Sample t-test
## 
## data:  data_pooled[which(data_pooled$condition != &quot;gender_question&quot; &amp; data_pooled$gender == &quot;Male&quot;), ]$polknowledge by data_pooled[which(data_pooled$condition != &quot;gender_question&quot; &amp; data_pooled$gender == &quot;Male&quot;), ]$condition
## t = -0.3, df = 516, p-value = 0.6
## alternative hypothesis: true difference in means between group control and group gender_statement is greater than 0
## 95 percent confidence interval:
##  -0.661    Inf
## sample estimates:
##          mean in group control mean in group gender_statement 
##                           9.92                          10.01</code></pre>
<pre class="r"><code>#
effectsize::cohens_d(data_pooled[which(data_pooled$condition != &quot;gender_question&quot; &amp; data_pooled$gender == &quot;Male&quot;),]$polknowledge ~ data_pooled[which(data_pooled$condition != &quot;gender_question&quot; &amp; data_pooled$gender == &quot;Male&quot;),]$condition,
       alternative = &quot;greater&quot;)</code></pre>
<pre><code>## Cohen&#39;s d |            95% CI
## -----------------------------
## -0.02     | [-0.17,      Inf]
## 
## - Estimated using pooled SD.
## - One-sided CIs: upper bound fixed at (Inf).</code></pre>
<pre class="r"><code># control - statement
t.test(data_pooled[which(data_pooled$condition != &quot;gender_statement&quot; &amp; data_pooled$gender == &quot;Male&quot;),]$polknowledge ~ data_pooled[which(data_pooled$condition != &quot;gender_statement&quot; &amp; data_pooled$gender == &quot;Male&quot;),]$condition,
       alternative = &quot;greater&quot;)</code></pre>
<pre><code>## 
##  Welch Two Sample t-test
## 
## data:  data_pooled[which(data_pooled$condition != &quot;gender_statement&quot; &amp; data_pooled$gender == &quot;Male&quot;), ]$polknowledge by data_pooled[which(data_pooled$condition != &quot;gender_statement&quot; &amp; data_pooled$gender == &quot;Male&quot;), ]$condition
## t = 1, df = 512, p-value = 0.1
## alternative hypothesis: true difference in means between group control and group gender_question is greater than 0
## 95 percent confidence interval:
##  -0.146    Inf
## sample estimates:
##         mean in group control mean in group gender_question 
##                          9.92                          9.50</code></pre>
<pre class="r"><code>#
effectsize::cohens_d(data_pooled[which(data_pooled$condition != &quot;gender_statement&quot; &amp; data_pooled$gender == &quot;Male&quot;),]$polknowledge ~ data_pooled[which(data_pooled$condition != &quot;gender_statement&quot; &amp; data_pooled$gender == &quot;Male&quot;),]$condition,
       alternative = &quot;greater&quot;)</code></pre>
<pre><code>## Cohen&#39;s d |            95% CI
## -----------------------------
## 0.11      | [-0.04,      Inf]
## 
## - Estimated using pooled SD.
## - One-sided CIs: upper bound fixed at (Inf).</code></pre>
</div>
</div>
<div id="exploratory-analyses-1" class="section level2">
<h2>Exploratory Analyses</h2>
<div id="analyses-of-dont-know-and-incorrect-answers-in-the-political-knowledge-test" class="section level3">
<h3>Analyses of “don’t know” and incorrect answers in the political knowledge test</h3>
<p>Table S8 and S9</p>
<pre class="r"><code>#Frequency of don&#39;t know answers per participant
# In qualtrics, &quot;don&#39;t know responses are coded as 0&quot;

dput(names(data_pooled))</code></pre>
<pre><code>## c(&quot;StartDate&quot;, &quot;EndDate&quot;, &quot;Status&quot;, &quot;IPAddress&quot;, &quot;Progress&quot;, 
## &quot;Duration__in_seconds_&quot;, &quot;Finished&quot;, &quot;RecordedDate&quot;, &quot;ResponseId&quot;, 
## &quot;RecipientLastName&quot;, &quot;RecipientFirstName&quot;, &quot;RecipientEmail&quot;, 
## &quot;ExternalReference&quot;, &quot;LocationLatitude&quot;, &quot;LocationLongitude&quot;, 
## &quot;DistributionChannel&quot;, &quot;UserLanguage&quot;, &quot;Consent&quot;, &quot;Data_Quality&quot;, 
## &quot;Time_Consent_First_Click&quot;, &quot;Time_Consent_Last_Click&quot;, &quot;Time_Consent_Page_Submit&quot;, 
## &quot;Time_Consent_Click_Count&quot;, &quot;Time_Inst_First_Click&quot;, &quot;Time_Inst_Last_Click&quot;, 
## &quot;Time_Inst_Page_Submit&quot;, &quot;Time_Inst_Click_Count&quot;, &quot;Field_1&quot;, 
## &quot;Field_12&quot;, &quot;Field_11&quot;, &quot;Field_27&quot;, &quot;Field_5&quot;, &quot;Field_2&quot;, &quot;Field_3&quot;, 
## &quot;Field_4&quot;, &quot;Field_6&quot;, &quot;Field_7&quot;, &quot;Field_8&quot;, &quot;Field_9&quot;, &quot;Field_10&quot;, 
## &quot;Field_13&quot;, &quot;Field_14&quot;, &quot;Field_15&quot;, &quot;Field_16&quot;, &quot;Field_17&quot;, &quot;Field_18&quot;, 
## &quot;Field_19&quot;, &quot;Field_20&quot;, &quot;Field_21&quot;, &quot;Field_22&quot;, &quot;Field_23&quot;, &quot;Field_24&quot;, 
## &quot;Field_25&quot;, &quot;Field_26&quot;, &quot;Field_28&quot;, &quot;AQ1&quot;, &quot;Time_Field_First_Click&quot;, 
## &quot;Time_Field_Last_Click&quot;, &quot;Time_Field_Page_Submit&quot;, &quot;Time_Field_Click_Count&quot;, 
## &quot;Pol_Interest_1&quot;, &quot;Pol_Interest_2&quot;, &quot;Pol_Interest_3&quot;, &quot;Pol_Interest_4&quot;, 
## &quot;Pol_Interest_5&quot;, &quot;Time_PolInterest_First_Click&quot;, &quot;Time_PolInterest_Last_Click&quot;, 
## &quot;Time_PolInterest_Page_Submit&quot;, &quot;Time_PolInterest_Click_Count&quot;, 
## &quot;Time_Inst_NA_First_Click&quot;, &quot;Time_Inst_NA_Last_Click&quot;, &quot;Time_Inst_NA_Page_Submit&quot;, 
## &quot;Time_Inst_NA_Click_Count&quot;, &quot;Gender_SterAct&quot;, &quot;Time_Instr_Gender_First_Click&quot;, 
## &quot;Time_Instr_Gender_Last_Click&quot;, &quot;Time_Instr_Gender_Page_Submit&quot;, 
## &quot;Time_Instr_Gender_Click_Count&quot;, &quot;Time_Inst_GenderStat_First_Click&quot;, 
## &quot;Time_Inst_GenderStat_Last_Click&quot;, &quot;Time_Inst_GenderStat_Page_Submit&quot;, 
## &quot;Time_Inst_GenderStat_Click_Count&quot;, &quot;PKT_1&quot;, &quot;Time_1_First_Click&quot;, 
## &quot;Time_1_Last_Click&quot;, &quot;Time_1_Page_Submit&quot;, &quot;Time_1_Click_Count&quot;, 
## &quot;PKT_2&quot;, &quot;Time_2_First_Click&quot;, &quot;Time_2_Last_Click&quot;, &quot;Time_2_Page_Submit&quot;, 
## &quot;Time_2_Click_Count&quot;, &quot;PKT_3&quot;, &quot;Time_3_First_Click&quot;, &quot;Time_3_Last_Click&quot;, 
## &quot;Time_3_Page_Submit&quot;, &quot;Time_3_Click_Count&quot;, &quot;PKT_4&quot;, &quot;Time_4_First_Click&quot;, 
## &quot;Time_4_Last_Click&quot;, &quot;Time_4_Page_Submit&quot;, &quot;Time_4_Click_Count&quot;, 
## &quot;PKT_5&quot;, &quot;Time_5_First_Click&quot;, &quot;Time_5_Last_Click&quot;, &quot;Time_5_Page_Submit&quot;, 
## &quot;Time_5_Click_Count&quot;, &quot;PKT_6&quot;, &quot;Time_6_First_Click&quot;, &quot;Time_6_Last_Click&quot;, 
## &quot;Time_6_Page_Submit&quot;, &quot;Time_6_Click_Count&quot;, &quot;PKT_7&quot;, &quot;Time_7_First_Click&quot;, 
## &quot;Time_7_Last_Click&quot;, &quot;Time_7_Page_Submit&quot;, &quot;Time_7_Click_Count&quot;, 
## &quot;PKT_8&quot;, &quot;Time_8_First_Click&quot;, &quot;Time_8_Last_Click&quot;, &quot;Time_8_Page_Submit&quot;, 
## &quot;Time_8_Click_Count&quot;, &quot;PKT_9&quot;, &quot;Time_9_First_Click&quot;, &quot;Time_9_Last_Click&quot;, 
## &quot;Time_9_Page_Submit&quot;, &quot;Time_9_Click_Count&quot;, &quot;PKT_10&quot;, &quot;Time_10_First_Click&quot;, 
## &quot;Time_10_Last_Click&quot;, &quot;Time_10_Page_Submit&quot;, &quot;Time_10_Click_Count&quot;, 
## &quot;PKT_11&quot;, &quot;Time_11_First_Click&quot;, &quot;Time_11_Last_Click&quot;, &quot;Time_11_Page_Submit&quot;, 
## &quot;Time_11_Click_Count&quot;, &quot;PKT_12&quot;, &quot;Time_12_First_Click&quot;, &quot;Time_12_Last_Click&quot;, 
## &quot;Time_12_Page_Submit&quot;, &quot;Time_12_Click_Count&quot;, &quot;PKT_13&quot;, &quot;Time_13_First_Click&quot;, 
## &quot;Time_13_Last_Click&quot;, &quot;Time_13_Page_Submit&quot;, &quot;Time_13_Click_Count&quot;, 
## &quot;PKT_14&quot;, &quot;Time_14_First_Click&quot;, &quot;Time_14_Last_Click&quot;, &quot;Time_14_Page_Submit&quot;, 
## &quot;Time_14_Click_Count&quot;, &quot;PKT_15&quot;, &quot;Time_15_First_Click&quot;, &quot;Time_15_Last_Click&quot;, 
## &quot;Time_15_Page_Submit&quot;, &quot;Time_15_Click_Count&quot;, &quot;PKT_16&quot;, &quot;Time_16_First_Click&quot;, 
## &quot;Time_16_Last_Click&quot;, &quot;Time_16_Page_Submit&quot;, &quot;Time_16_Click_Count&quot;, 
## &quot;PKT_17&quot;, &quot;Time_17_First_Click&quot;, &quot;Time_17_Last_Click&quot;, &quot;Time_17_Page_Submit&quot;, 
## &quot;Time_17_Click_Count&quot;, &quot;PKT_18&quot;, &quot;Time_18_First_Click&quot;, &quot;Time_18_Last_Click&quot;, 
## &quot;Time_18_Page_Submit&quot;, &quot;Time_18_Click_Count&quot;, &quot;PKT_19&quot;, &quot;Time_19_First_Click&quot;, 
## &quot;Time_19_Last_Click&quot;, &quot;Time_19_Page_Submit&quot;, &quot;Time_19_Click_Count&quot;, 
## &quot;PKT_20&quot;, &quot;Time_20_First_Click&quot;, &quot;Time_20_Last_Click&quot;, &quot;Time_20_Page_Submit&quot;, 
## &quot;Time_20_Click_Count&quot;, &quot;Help_Ihme&quot;, &quot;AQ2&quot;, &quot;Time_Control1_First_Click&quot;, 
## &quot;Time_Control1_Last_Click&quot;, &quot;Time_Control1_Page_Submit&quot;, &quot;Time_Control1_Click_Count&quot;, 
## &quot;Topci_Rank_0_GROUP_1&quot;, &quot;Topci_Rank_0_GROUP_2&quot;, &quot;Topci_Rank_0_GROUP_3&quot;, 
## &quot;Topci_Rank_0_GROUP_4&quot;, &quot;Topci_Rank_0_GROUP_5&quot;, &quot;Topci_Rank_0_GROUP_6&quot;, 
## &quot;Topci_Rank_0_GROUP_7&quot;, &quot;Topci_Rank_0_GROUP_8&quot;, &quot;Topci_Rank_0_GROUP_9&quot;, 
## &quot;Topci_Rank_0_GROUP_10&quot;, &quot;Topci_Rank_0_GROUP_11&quot;, &quot;Topci_Rank_0_GROUP_12&quot;, 
## &quot;Topci_Rank_0_GROUP_13&quot;, &quot;Topci_Rank_0_GROUP_14&quot;, &quot;Topci_Rank_0_GROUP_15&quot;, 
## &quot;Topci_Rank_0_GROUP_16&quot;, &quot;Topci_Rank_0_GROUP_17&quot;, &quot;Topci_Rank_0_GROUP_18&quot;, 
## &quot;Topci_Rank_0_GROUP_19&quot;, &quot;Topci_Rank_0_GROUP_20&quot;, &quot;Topci_Rank_0_GROUP_21&quot;, 
## &quot;Topci_Rank_0_GROUP_22&quot;, &quot;Topci_Rank_0_GROUP_23&quot;, &quot;Topci_Rank_0_GROUP_24&quot;, 
## &quot;Topci_Rank_0_GROUP_25&quot;, &quot;Topci_Rank_0_GROUP_26&quot;, &quot;Topci_Rank_0_GROUP_27&quot;, 
## &quot;Topci_Rank_0_GROUP_30&quot;, &quot;Topci_Rank_0_1_RANK&quot;, &quot;Topci_Rank_0_2_RANK&quot;, 
## &quot;Topci_Rank_0_3_RANK&quot;, &quot;Topci_Rank_0_4_RANK&quot;, &quot;Topci_Rank_0_5_RANK&quot;, 
## &quot;Topci_Rank_0_6_RANK&quot;, &quot;Topci_Rank_0_7_RANK&quot;, &quot;Topci_Rank_0_8_RANK&quot;, 
## &quot;Topci_Rank_0_9_RANK&quot;, &quot;Topci_Rank_0_10_RANK&quot;, &quot;Topci_Rank_0_11_RANK&quot;, 
## &quot;Topci_Rank_0_12_RANK&quot;, &quot;Topci_Rank_0_13_RANK&quot;, &quot;Topci_Rank_0_14_RANK&quot;, 
## &quot;Topci_Rank_0_15_RANK&quot;, &quot;Topci_Rank_0_16_RANK&quot;, &quot;Topci_Rank_0_17_RANK&quot;, 
## &quot;Topci_Rank_0_18_RANK&quot;, &quot;Topci_Rank_0_19_RANK&quot;, &quot;Topci_Rank_0_20_RANK&quot;, 
## &quot;Topci_Rank_0_21_RANK&quot;, &quot;Topci_Rank_0_22_RANK&quot;, &quot;Topci_Rank_0_23_RANK&quot;, 
## &quot;Topci_Rank_0_24_RANK&quot;, &quot;Topci_Rank_0_25_RANK&quot;, &quot;Topci_Rank_0_26_RANK&quot;, 
## &quot;Topci_Rank_0_27_RANK&quot;, &quot;Topci_Rank_0_30_RANK&quot;, &quot;Time_Control2_First_Click&quot;, 
## &quot;Time_Control2_Last_Click&quot;, &quot;Time_Control2_Page_Submit&quot;, &quot;Time_Control2_Click_Count&quot;, 
## &quot;Topics_Importance_1&quot;, &quot;Topics_Importance_2&quot;, &quot;Topics_Importance_3&quot;, 
## &quot;Topics_Importance_4&quot;, &quot;Topics_Importance_5&quot;, &quot;Topics_Importance_6&quot;, 
## &quot;Topics_Importance_7&quot;, &quot;Topics_Importance_8&quot;, &quot;Topics_Importance_9&quot;, 
## &quot;Topics_Importance_10&quot;, &quot;Topics_Importance_11&quot;, &quot;Topics_Importance_12&quot;, 
## &quot;Topics_Importance_13&quot;, &quot;Topics_Importance_14&quot;, &quot;Topics_Importance_15&quot;, 
## &quot;Topics_Importance_16&quot;, &quot;Topics_Importance_17&quot;, &quot;Topics_Importance_18&quot;, 
## &quot;Topics_Importance_19&quot;, &quot;Topics_Importance_20&quot;, &quot;Topics_Importance_21&quot;, 
## &quot;Topics_Importance_22&quot;, &quot;Topics_Importance_23&quot;, &quot;Topics_Importance_24&quot;, 
## &quot;Topics_Importance_25&quot;, &quot;Topics_Importance_26&quot;, &quot;Topics_Importance_27&quot;, 
## &quot;Time_Contol3_First_Click&quot;, &quot;Time_Contol3_Last_Click&quot;, &quot;Time_Contol3_Page_Submit&quot;, 
## &quot;Time_Contol3_Click_Count&quot;, &quot;Age&quot;, &quot;Education&quot;, &quot;Study_Work&quot;, 
## &quot;Time_Demog1_First_Click&quot;, &quot;Time_Demog1_Last_Click&quot;, &quot;Time_Demog1_Page_Submit&quot;, 
## &quot;Time_Demog1_Click_Count&quot;, &quot;Gender&quot;, &quot;Time_Debrief_First_Click&quot;, 
## &quot;Time_Debrief_Last_Click&quot;, &quot;Time_Debrief_Page_Submit&quot;, &quot;Time_Debrief_Click_Count&quot;, 
## &quot;SC1&quot;, &quot;SC2&quot;, &quot;Q_TotalDuration&quot;, &quot;finish&quot;, &quot;Attention_Score&quot;, 
## &quot;Failed_Quota&quot;, &quot;Failed_AQ&quot;, &quot;Failed_Criteria&quot;, &quot;condition&quot;, 
## &quot;Politics&quot;, &quot;Complete&quot;, &quot;gender&quot;, &quot;polinterest&quot;, &quot;polknowledge&quot;, 
## &quot;PKT_1_dich&quot;, &quot;PKT_2_dich&quot;, &quot;PKT_3_dich&quot;, &quot;PKT_4_dich&quot;, &quot;PKT_5_dich&quot;, 
## &quot;PKT_6_dich&quot;, &quot;PKT_7_dich&quot;, &quot;PKT_8_dich&quot;, &quot;PKT_9_dich&quot;, &quot;PKT_10_dich&quot;, 
## &quot;PKT_11_dich&quot;, &quot;PKT_12_dich&quot;, &quot;PKT_13_dich&quot;, &quot;PKT_14_dich&quot;, &quot;PKT_15_dich&quot;, 
## &quot;PKT_16_dich&quot;, &quot;PKT_17_dich&quot;, &quot;PKT_18_dich&quot;, &quot;PKT_19_dich&quot;, &quot;PKT_20_dich&quot;, 
## &quot;polknowledge_sum&quot;, &quot;diff_PKT&quot;, &quot;polinterest_c&quot;)</code></pre>
<pre class="r"><code>data_pooled$PKT_DK &lt;- rowSums(data_pooled[, c(&quot;PKT_1&quot;, &quot;PKT_2&quot;, &quot;PKT_3&quot;, &quot;PKT_4&quot;, &quot;PKT_5&quot;, &quot;PKT_6&quot;, &quot;PKT_7&quot;, &quot;PKT_8&quot;, &quot;PKT_9&quot;, &quot;PKT_10&quot;, &quot;PKT_11&quot;, &quot;PKT_12&quot;, &quot;PKT_13&quot;, &quot;PKT_14&quot;, &quot;PKT_15&quot;, &quot;PKT_16&quot;, &quot;PKT_17&quot;, &quot;PKT_18&quot;, &quot;PKT_19&quot;, &quot;PKT_20&quot; )] == 0, na.rm = T)

ancova &lt;- aov(PKT_DK ~ polinterest + gender*condition, data_pooled)
ancovafit &lt;- car::Anova(ancova, type = 3)
ancovafit</code></pre>
<pre><code>## Anova Table (Type III tests)
## 
## Response: PKT_DK
##                  Sum Sq   Df F value Pr(&gt;F)    
## (Intercept)       14376    1 1010.53 &lt;2e-16 ***
## polinterest        5980    1  420.34 &lt;2e-16 ***
## gender              472    1   33.17  1e-08 ***
## condition            32    2    1.14  0.320    
## gender:condition     76    2    2.65  0.071 .  
## Residuals         21268 1495                   
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1</code></pre>
<pre class="r"><code>sjstats::anova_stats(ancovafit)</code></pre>
<pre><code>## term             |     sumsq |   meansq |   df | statistic | p.value | etasq | partial.etasq | omegasq | partial.omegasq | epsilonsq | cohens.f | power
## -------------------------------------------------------------------------------------------------------------------------------------------------------
## polinterest      |  5979.805 | 5979.805 |    1 |   420.339 |  &lt; .001 | 0.215 |         0.219 |   0.214 |           0.218 |     0.214 |    0.530 | 1.000
## gender           |   471.831 |  471.831 |    1 |    33.166 |  &lt; .001 | 0.017 |         0.022 |   0.016 |           0.021 |     0.016 |    0.149 | 1.000
## condition        |    32.418 |   16.209 |    2 |     1.139 |   0.320 | 0.001 |         0.002 |   0.000 |           0.000 |     0.000 |    0.039 | 0.252
## gender:condition |    75.511 |   37.756 |    2 |     2.654 |   0.071 | 0.003 |         0.004 |   0.002 |           0.002 |     0.002 |    0.060 | 0.529
## Residuals        | 21268.115 |   14.226 | 1495 |           |         |       |               |         |                 |           |          |</code></pre>
<pre class="r"><code>sjstats::eta_sq(ancovafit, partial = T, ci.lvl = .95)</code></pre>
<pre><code>## Warning: &#39;sjstats::eta_sq&#39; is deprecated.
## Use &#39;effectsize::eta_squared()&#39; instead.
## See help(&quot;Deprecated&quot;)</code></pre>
<pre><code>## Type 3 ANOVAs only give sensible and informative results when covariates are
##   mean-centered and factors are coded with orthogonal contrasts (such as those
##   produced by &#39;contr.sum&#39;, &#39;contr.poly&#39;, or &#39;contr.helmert&#39;, but *not* by the
##   default &#39;contr.treatment&#39;).</code></pre>
<pre><code>## # Effect Size for ANOVA (Type III)
## 
## Parameter        | Eta2 (partial) |       95% CI
## ------------------------------------------------
## polinterest      |           0.22 | [0.19, 1.00]
## gender           |           0.02 | [0.01, 1.00]
## condition        |       1.52e-03 | [0.00, 1.00]
## gender:condition |       3.54e-03 | [0.00, 1.00]
## 
## - One-sided CIs: upper bound fixed at (1).</code></pre>
<pre class="r"><code>#Table of means and sd of don&#39;t know responses per gender, per condition

group_by(data_pooled, gender, condition) %&gt;%
  summarise(
    count = n(),
    mean = mean(PKT_DK, na.rm = TRUE),
    sd = sd(PKT_DK, na.rm = TRUE)
  )</code></pre>
<pre><code>## `summarise()` has grouped output by &#39;gender&#39;. You can override using the `.groups` argument.</code></pre>
<pre><code>## # A tibble: 6 x 5
## # Groups:   gender [2]
##   gender condition        count  mean    sd
##   &lt;fct&gt;  &lt;fct&gt;            &lt;int&gt; &lt;dbl&gt; &lt;dbl&gt;
## 1 Female control            234  6.07  4.85
## 2 Female gender_question    239  5.68  4.78
## 3 Female gender_statement   259  5.62  4.63
## 4 Male   control            262  3.42  3.78
## 5 Male   gender_question    252  4.02  3.99
## 6 Male   gender_statement   256  3.16  3.46</code></pre>
<pre class="r"><code>#Table of means and sd of don&#39;t know responses per gender

group_by(data_pooled, gender)%&gt;%
  summarise(
    count = n(),
    mean = mean(PKT_DK, na.rm = TRUE),
    sd = sd(PKT_DK, na.rm = TRUE)
  )</code></pre>
<pre><code>## # A tibble: 2 x 4
##   gender count  mean    sd
##   &lt;fct&gt;  &lt;int&gt; &lt;dbl&gt; &lt;dbl&gt;
## 1 Female   732  5.78  4.75
## 2 Male     770  3.53  3.76</code></pre>
<pre class="r"><code>#
#
apa.aov.table(
ancova,
&quot;sample2_ex_DK.doc&quot;,
table.number = NA,
conf.level = 0.95,
type = 3
)</code></pre>
<pre><code>## 
## 
## ANOVA results using PKT_DK as the dependent variable
##  
## 
##           Predictor       SS   df       MS       F    p partial_eta2
##         (Intercept) 14375.93    1 14375.93 1010.53 .000             
##         polinterest  5979.81    1  5979.81  420.34 .000          .22
##              gender   471.83    1   471.83   33.17 .000          .02
##           condition    32.42    2    16.21    1.14 .320          .00
##  gender x condition    75.51    2    37.76    2.65 .071          .00
##               Error 21268.11 1495    14.23                          
##  CI_95_partial_eta2
##                    
##          [.18, .25]
##          [.01, .04]
##          [.00, .01]
##          [.00, .01]
##                    
## 
## Note: Values in square brackets indicate the bounds of the 95% confidence interval for partial eta-squared</code></pre>
<p>Table S10 and S11</p>
<pre class="r"><code>data_pooled$PKT_incorrect &lt;- rowSums(data_pooled[, c(&quot;PKT_1&quot;, &quot;PKT_2&quot;, &quot;PKT_3&quot;, &quot;PKT_4&quot;, &quot;PKT_5&quot;, &quot;PKT_6&quot;, &quot;PKT_7&quot;, &quot;PKT_8&quot;, &quot;PKT_9&quot;, 
                            &quot;PKT_10&quot;, &quot;PKT_11&quot;, &quot;PKT_12&quot;, &quot;PKT_13&quot;, &quot;PKT_14&quot;, &quot;PKT_15&quot;, &quot;PKT_16&quot;, &quot;PKT_17&quot;, 
                            &quot;PKT_18&quot;, &quot;PKT_19&quot;, &quot;PKT_20&quot; )] == 2, na.rm = T)
#Frequency of don&#39;t know answers per participant
# In qualtrics, &quot;don&#39;t know responses are coded as 0&quot;
ancova &lt;- aov(PKT_incorrect ~ polinterest + gender*condition, data_pooled)
ancovafit &lt;- car::Anova(ancova, type = 3)
ancovafit</code></pre>
<pre><code>## Anova Table (Type III tests)
## 
## Response: PKT_incorrect
##                  Sum Sq   Df F value  Pr(&gt;F)    
## (Intercept)        1156    1  233.32 &lt; 2e-16 ***
## polinterest         676    1  136.38 &lt; 2e-16 ***
## gender              130    1   26.15 3.6e-07 ***
## condition             9    2    0.93    0.40    
## gender:condition     11    2    1.10    0.33    
## Residuals          7407 1495                    
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1</code></pre>
<pre class="r"><code>sjstats::anova_stats(ancovafit)</code></pre>
<pre><code>## term             |    sumsq |  meansq |   df | statistic | p.value | etasq | partial.etasq | omegasq | partial.omegasq | epsilonsq | cohens.f | power
## -----------------------------------------------------------------------------------------------------------------------------------------------------
## polinterest      |  675.659 | 675.659 |    1 |   136.379 |  &lt; .001 | 0.082 |         0.084 |   0.081 |           0.083 |     0.081 |    0.302 | 1.000
## gender           |  129.536 | 129.536 |    1 |    26.146 |  &lt; .001 | 0.016 |         0.017 |   0.015 |           0.016 |     0.015 |    0.132 | 0.999
## condition        |    9.181 |   4.590 |    2 |     0.927 |   0.396 | 0.001 |         0.001 |   0.000 |           0.000 |     0.000 |    0.035 | 0.212
## gender:condition |   10.922 |   5.461 |    2 |     1.102 |   0.332 | 0.001 |         0.001 |   0.000 |           0.000 |     0.000 |    0.038 | 0.245
## Residuals        | 7406.654 |   4.954 | 1495 |           |         |       |               |         |                 |           |          |</code></pre>
<pre class="r"><code>sjstats::eta_sq(ancovafit, partial = T, ci.lvl = .95)</code></pre>
<pre><code>## Warning: &#39;sjstats::eta_sq&#39; is deprecated.
## Use &#39;effectsize::eta_squared()&#39; instead.
## See help(&quot;Deprecated&quot;)</code></pre>
<pre><code>## Type 3 ANOVAs only give sensible and informative results when covariates are
##   mean-centered and factors are coded with orthogonal contrasts (such as those
##   produced by &#39;contr.sum&#39;, &#39;contr.poly&#39;, or &#39;contr.helmert&#39;, but *not* by the
##   default &#39;contr.treatment&#39;).</code></pre>
<pre><code>## # Effect Size for ANOVA (Type III)
## 
## Parameter        | Eta2 (partial) |       95% CI
## ------------------------------------------------
## polinterest      |           0.08 | [0.06, 1.00]
## gender           |           0.02 | [0.01, 1.00]
## condition        |       1.24e-03 | [0.00, 1.00]
## gender:condition |       1.47e-03 | [0.00, 1.00]
## 
## - One-sided CIs: upper bound fixed at (1).</code></pre>
<pre class="r"><code>#Table of means and sd of incorrect responses per gender, per condition

group_by(data_pooled, condition, gender) %&gt;%
  summarise(
    count = n(),
    mean = mean(PKT_incorrect, na.rm = TRUE),
    sd = sd(PKT_incorrect, na.rm = TRUE)
  )</code></pre>
<pre><code>## `summarise()` has grouped output by &#39;condition&#39;. You can override using the `.groups` argument.</code></pre>
<pre><code>## # A tibble: 6 x 5
## # Groups:   condition [3]
##   condition        gender count  mean    sd
##   &lt;fct&gt;            &lt;fct&gt;  &lt;int&gt; &lt;dbl&gt; &lt;dbl&gt;
## 1 control          Female   234  5.06  2.54
## 2 control          Male     262  6.32  2.24
## 3 gender_question  Female   239  5.20  2.39
## 4 gender_question  Male     252  6.09  2.24
## 5 gender_statement Female   259  5.36  2.29
## 6 gender_statement Male     256  6.22  2.26</code></pre>
<pre class="r"><code>#Table of means and sd of incorrect responses per gender
group_by(data_pooled, gender)%&gt;%
  summarise(
    count = n(),
    mean = mean(PKT_incorrect, na.rm = TRUE),
    sd = sd(PKT_incorrect, na.rm = TRUE)
  )</code></pre>
<pre><code>## # A tibble: 2 x 4
##   gender count  mean    sd
##   &lt;fct&gt;  &lt;int&gt; &lt;dbl&gt; &lt;dbl&gt;
## 1 Female   732  5.21  2.40
## 2 Male     770  6.21  2.25</code></pre>
<pre class="r"><code>#

emmeans.ancova &lt;- emmeans(ancova, specs = c(&quot;gender&quot;, &quot;condition&quot;))
emmeans.ancova </code></pre>
<pre><code>##  gender condition        emmean    SE   df lower.CL upper.CL
##  Female control            5.17 0.146 1495     4.89     5.46
##  Male   control            6.20 0.138 1495     5.93     6.47
##  Female gender_question    5.35 0.144 1495     5.06     5.63
##  Male   gender_question    6.01 0.140 1495     5.73     6.28
##  Female gender_statement   5.44 0.139 1495     5.17     5.72
##  Male   gender_statement   6.11 0.139 1495     5.84     6.39
## 
## Confidence level used: 0.95</code></pre>
<pre class="r"><code>contrast &lt;- contrast(emmeans.ancova, &quot;pairwise&quot;, 
                        simple = &quot;gender&quot;, # &quot;each&quot; gives all contrasts
                        combine = F, 
                        adjust = &quot;bonferroni&quot;)

contrast</code></pre>
<pre><code>## condition = control:
##  contrast      estimate    SE   df t.ratio p.value
##  Female - Male   -1.029 0.201 1495  -5.110  &lt;.0001
## 
## condition = gender_question:
##  contrast      estimate    SE   df t.ratio p.value
##  Female - Male   -0.662 0.202 1495  -3.280  0.0011
## 
## condition = gender_statement:
##  contrast      estimate    SE   df t.ratio p.value
##  Female - Male   -0.670 0.197 1495  -3.400  0.0007</code></pre>
<pre class="r"><code>#
apa.aov.table(
ancova,
&quot;sample2_ex_inc.doc&quot;,
table.number = NA,
conf.level = 0.95,
type = 3
)</code></pre>
<pre><code>## 
## 
## ANOVA results using PKT_incorrect as the dependent variable
##  
## 
##           Predictor      SS   df      MS      F    p partial_eta2
##         (Intercept) 1155.94    1 1155.94 233.32 .000             
##         polinterest  675.66    1  675.66 136.38 .000          .08
##              gender  129.54    1  129.54  26.15 .000          .02
##           condition    9.18    2    4.59   0.93 .396          .00
##  gender x condition   10.92    2    5.46   1.10 .332          .00
##               Error 7406.65 1495    4.95                         
##  CI_95_partial_eta2
##                    
##          [.06, .11]
##          [.01, .03]
##          [.00, .01]
##          [.00, .01]
##                    
## 
## Note: Values in square brackets indicate the bounds of the 95% confidence interval for partial eta-squared</code></pre>
<p>Table S12</p>
<pre class="r"><code>data_pooled$prop.dk &lt;- data_pooled$PKT_DK/(data_pooled$PKT_DK + data_pooled$PKT_incorrect)

ancova &lt;- aov(polknowledge ~ polinterest + prop.dk + gender*Politics*condition, data_pooled)
ancovafit &lt;- car::Anova(ancova, type = 3)
ancovafit</code></pre>
<pre><code>## Anova Table (Type III tests)
## 
## Response: polknowledge
##                           Sum Sq   Df F value  Pr(&gt;F)    
## (Intercept)                 4957    1  579.91 &lt; 2e-16 ***
## polinterest                  231    1   27.06 2.2e-07 ***
## prop.dk                     4833    1  565.35 &lt; 2e-16 ***
## gender                       108    1   12.63 0.00039 ***
## Politics                       0    1    0.01 0.93353    
## condition                      1    2    0.03 0.96848    
## gender:Politics                2    1    0.24 0.62577    
## gender:condition               5    2    0.29 0.75065    
## Politics:condition             6    2    0.36 0.70032    
## gender:Politics:condition      1    2    0.05 0.94868    
## Residuals                  12702 1486                    
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1</code></pre>
<pre class="r"><code>sjstats::anova_stats(ancovafit)</code></pre>
<pre><code>## term                      |     sumsq |   meansq |   df | statistic | p.value | etasq | partial.etasq | omegasq | partial.omegasq | epsilonsq | cohens.f | power
## ----------------------------------------------------------------------------------------------------------------------------------------------------------------
## polinterest               |   231.315 |  231.315 |    1 |    27.061 |  &lt; .001 | 0.013 |         0.018 |   0.012 |           0.017 |     0.012 |    0.135 | 0.999
## prop.dk                   |  4832.616 | 4832.616 |    1 |   565.354 |  &lt; .001 | 0.270 |         0.276 |   0.270 |           0.273 |     0.270 |    0.617 | 1.000
## gender                    |   107.941 |  107.941 |    1 |    12.628 |  &lt; .001 | 0.006 |         0.008 |   0.006 |           0.008 |     0.006 |    0.092 | 0.944
## Politics                  |     0.059 |    0.059 |    1 |     0.007 |   0.934 | 0.000 |         0.000 |   0.000 |          -0.001 |     0.000 |    0.002 | 0.051
## condition                 |     0.548 |    0.274 |    2 |     0.032 |   0.968 | 0.000 |         0.000 |  -0.001 |          -0.001 |    -0.001 |    0.007 | 0.055
## gender:Politics           |     2.034 |    2.034 |    1 |     0.238 |   0.626 | 0.000 |         0.000 |   0.000 |          -0.001 |     0.000 |    0.013 | 0.078
## gender:condition          |     4.904 |    2.452 |    2 |     0.287 |   0.751 | 0.000 |         0.000 |  -0.001 |          -0.001 |    -0.001 |    0.020 | 0.096
## Politics:condition        |     6.091 |    3.046 |    2 |     0.356 |   0.700 | 0.000 |         0.000 |  -0.001 |          -0.001 |    -0.001 |    0.022 | 0.108
## gender:Politics:condition |     0.901 |    0.450 |    2 |     0.053 |   0.949 | 0.000 |         0.000 |  -0.001 |          -0.001 |    -0.001 |    0.008 | 0.058
## Residuals                 | 12702.241 |    8.548 | 1486 |           |         |       |               |         |                 |           |          |</code></pre>
<pre class="r"><code>sjstats::eta_sq(ancovafit, partial = T, ci.lvl = .95)</code></pre>
<pre><code>## Warning: &#39;sjstats::eta_sq&#39; is deprecated.
## Use &#39;effectsize::eta_squared()&#39; instead.
## See help(&quot;Deprecated&quot;)</code></pre>
<pre><code>## Type 3 ANOVAs only give sensible and informative results when covariates are
##   mean-centered and factors are coded with orthogonal contrasts (such as those
##   produced by &#39;contr.sum&#39;, &#39;contr.poly&#39;, or &#39;contr.helmert&#39;, but *not* by the
##   default &#39;contr.treatment&#39;).</code></pre>
<pre><code>## # Effect Size for ANOVA (Type III)
## 
## Parameter                 | Eta2 (partial) |       95% CI
## ---------------------------------------------------------
## polinterest               |           0.02 | [0.01, 1.00]
## prop.dk                   |           0.28 | [0.25, 1.00]
## gender                    |       8.43e-03 | [0.00, 1.00]
## Politics                  |       4.68e-06 | [0.00, 1.00]
## condition                 |       4.31e-05 | [0.00, 1.00]
## gender:Politics           |       1.60e-04 | [0.00, 1.00]
## gender:condition          |       3.86e-04 | [0.00, 1.00]
## Politics:condition        |       4.79e-04 | [0.00, 1.00]
## gender:Politics:condition |       7.09e-05 | [0.00, 1.00]
## 
## - One-sided CIs: upper bound fixed at (1).</code></pre>
<pre class="r"><code>#Table of means and sd of incorrect responses per gender, per condition

group_by(data_pooled, condition, gender) %&gt;%
  summarise(
    count = n(),
    mean = mean(PKT_DK, na.rm = TRUE),
    sd = sd(PKT_DK, na.rm = TRUE)
  )</code></pre>
<pre><code>## `summarise()` has grouped output by &#39;condition&#39;. You can override using the `.groups` argument.</code></pre>
<pre><code>## # A tibble: 6 x 5
## # Groups:   condition [3]
##   condition        gender count  mean    sd
##   &lt;fct&gt;            &lt;fct&gt;  &lt;int&gt; &lt;dbl&gt; &lt;dbl&gt;
## 1 control          Female   234  6.07  4.85
## 2 control          Male     262  3.42  3.78
## 3 gender_question  Female   239  5.68  4.78
## 4 gender_question  Male     252  4.02  3.99
## 5 gender_statement Female   259  5.62  4.63
## 6 gender_statement Male     256  3.16  3.46</code></pre>
<pre class="r"><code>#Table of means and sd of incorrect responses per gender
group_by(data_pooled, gender)%&gt;%
  summarise(
    count = n(),
    mean = mean(PKT_DK, na.rm = TRUE),
    sd = sd(PKT_DK, na.rm = TRUE)
  )</code></pre>
<pre><code>## # A tibble: 2 x 4
##   gender count  mean    sd
##   &lt;fct&gt;  &lt;int&gt; &lt;dbl&gt; &lt;dbl&gt;
## 1 Female   732  5.78  4.75
## 2 Male     770  3.53  3.76</code></pre>
<pre class="r"><code>#
emmeans.ancova &lt;- emmeans(ancova, specs = c(&quot;gender&quot;, &quot;condition&quot;))</code></pre>
<pre><code>## NOTE: Results may be misleading due to involvement in interactions</code></pre>
<pre class="r"><code>emmeans.ancova </code></pre>
<pre><code>##  gender condition        emmean    SE   df lower.CL upper.CL
##  Female control            7.90 0.212 1486     7.48     8.31
##  Male   control            9.23 0.184 1486     8.87     9.59
##  Female gender_question    8.22 0.202 1486     7.82     8.61
##  Male   gender_question    9.16 0.185 1486     8.80     9.52
##  Female gender_statement   8.12 0.197 1486     7.74     8.51
##  Male   gender_statement   9.22 0.185 1486     8.86     9.58
## 
## Results are averaged over the levels of: Politics 
## Confidence level used: 0.95</code></pre>
<pre class="r"><code>contrast &lt;- contrast(emmeans.ancova, &quot;pairwise&quot;, 
                        simple = &quot;gender&quot;, # &quot;each&quot; gives all contrasts
                        combine = F, 
                        adjust = &quot;bonferroni&quot;)

contrast</code></pre>
<pre><code>## condition = control:
##  contrast      estimate    SE   df t.ratio p.value
##  Female - Male   -1.332 0.283 1486  -4.710  &lt;.0001
## 
## condition = gender_question:
##  contrast      estimate    SE   df t.ratio p.value
##  Female - Male   -0.942 0.275 1486  -3.420  0.0006
## 
## condition = gender_statement:
##  contrast      estimate    SE   df t.ratio p.value
##  Female - Male   -1.097 0.271 1486  -4.050  0.0001
## 
## Results are averaged over the levels of: Politics</code></pre>
<pre class="r"><code>#
apa.aov.table(
ancova,
&quot;sample2_ex_prop.doc&quot;,
table.number = NA,
conf.level = 0.95,
type = 3
)</code></pre>
<pre><code>## 
## 
## ANOVA results using polknowledge as the dependent variable
##  
## 
##                      Predictor       SS   df      MS      F    p partial_eta2
##                    (Intercept)  4957.05    1 4957.05 579.91 .000             
##                    polinterest   231.31    1  231.31  27.06 .000          .02
##                        prop.dk  4832.62    1 4832.62 565.35 .000          .28
##                         gender   107.94    1  107.94  12.63 .000          .01
##                       Politics     0.06    1    0.06   0.01 .934          .00
##                      condition     0.55    2    0.28   0.03 .968          .00
##              gender x Politics     2.03    1    2.03   0.24 .626          .00
##             gender x condition     4.90    2    2.45   0.29 .751          .00
##           Politics x condition     6.09    2    3.04   0.36 .700          .00
##  gender x Politics x condition     0.90    2    0.45   0.05 .949          .00
##                          Error 12702.24 1486    8.55                         
##  CI_95_partial_eta2
##                    
##          [.01, .03]
##          [.24, .31]
##          [.00, .02]
##          [.00, .00]
##          [.00, .00]
##          [.00, .00]
##          [.00, .00]
##          [.00, .00]
##          [.00, .00]
##                    
## 
## Note: Values in square brackets indicate the bounds of the 95% confidence interval for partial eta-squared</code></pre>
</div>
<div id="analyses-of-attempted-answers-in-the-political-knowledge-test" class="section level3">
<h3>Analyses of attempted answers in the political knowledge test</h3>
<p>Table S13 and S14</p>
<pre class="r"><code>#Frequency of attempted items per participant (items that were not answered with &quot;don&#39;t know&quot; and were not skipped)

data_pooled$attempt &lt;- rowSums(data_pooled[, c(&quot;PKT_1&quot;, &quot;PKT_2&quot;, &quot;PKT_3&quot;, &quot;PKT_4&quot;, &quot;PKT_5&quot;, &quot;PKT_6&quot;, &quot;PKT_7&quot;, &quot;PKT_8&quot;, &quot;PKT_9&quot;, 
                            &quot;PKT_10&quot;, &quot;PKT_11&quot;, &quot;PKT_12&quot;, &quot;PKT_13&quot;, &quot;PKT_14&quot;, &quot;PKT_15&quot;, &quot;PKT_16&quot;, &quot;PKT_17&quot;, 
                            &quot;PKT_18&quot;, &quot;PKT_19&quot;, &quot;PKT_20&quot; )] != 0, na.rm = T)

ancova &lt;- aov(attempt ~ polinterest + gender*condition, data_pooled)
ancovafit &lt;- car::Anova(ancova, type = 3)
ancovafit</code></pre>
<pre><code>## Anova Table (Type III tests)
## 
## Response: attempt
##                  Sum Sq   Df F value  Pr(&gt;F)    
## (Intercept)        5731    1  378.27 &lt; 2e-16 ***
## polinterest        5978    1  394.57 &lt; 2e-16 ***
## gender              416    1   27.43 1.9e-07 ***
## condition            26    2    0.84    0.43    
## gender:condition     59    2    1.95    0.14    
## Residuals         22651 1495                    
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1</code></pre>
<pre class="r"><code>sjstats::anova_stats(ancovafit)</code></pre>
<pre><code>## term             |     sumsq |   meansq |   df | statistic | p.value | etasq | partial.etasq | omegasq | partial.omegasq | epsilonsq | cohens.f | power
## -------------------------------------------------------------------------------------------------------------------------------------------------------
## polinterest      |  5978.306 | 5978.306 |    1 |   394.575 |  &lt; .001 | 0.205 |         0.209 |   0.205 |           0.208 |     0.205 |    0.514 | 1.000
## gender           |   415.639 |  415.639 |    1 |    27.433 |  &lt; .001 | 0.014 |         0.018 |   0.014 |           0.017 |     0.014 |    0.135 | 0.999
## condition        |    25.600 |   12.800 |    2 |     0.845 |   0.430 | 0.001 |         0.001 |   0.000 |           0.000 |     0.000 |    0.034 | 0.196
## gender:condition |    59.181 |   29.590 |    2 |     1.953 |   0.142 | 0.002 |         0.003 |   0.001 |           0.001 |     0.001 |    0.051 | 0.407
## Residuals        | 22651.142 |   15.151 | 1495 |           |         |       |               |         |                 |           |          |</code></pre>
<pre class="r"><code>sjstats::eta_sq(ancovafit, partial = T, ci.lvl = .95)</code></pre>
<pre><code>## Warning: &#39;sjstats::eta_sq&#39; is deprecated.
## Use &#39;effectsize::eta_squared()&#39; instead.
## See help(&quot;Deprecated&quot;)</code></pre>
<pre><code>## Type 3 ANOVAs only give sensible and informative results when covariates are
##   mean-centered and factors are coded with orthogonal contrasts (such as those
##   produced by &#39;contr.sum&#39;, &#39;contr.poly&#39;, or &#39;contr.helmert&#39;, but *not* by the
##   default &#39;contr.treatment&#39;).</code></pre>
<pre><code>## # Effect Size for ANOVA (Type III)
## 
## Parameter        | Eta2 (partial) |       95% CI
## ------------------------------------------------
## polinterest      |           0.21 | [0.18, 1.00]
## gender           |           0.02 | [0.01, 1.00]
## condition        |       1.13e-03 | [0.00, 1.00]
## gender:condition |       2.61e-03 | [0.00, 1.00]
## 
## - One-sided CIs: upper bound fixed at (1).</code></pre>
<pre class="r"><code>#Table of means and sd of attempted responses per gender, per condition

group_by(data_pooled, gender, condition) %&gt;%
  summarise(
    count = n(),
    mean = round(mean(attempt, na.rm = TRUE), digits = 3),
    sd = sd(attempt, na.rm = TRUE)
  )</code></pre>
<pre><code>## `summarise()` has grouped output by &#39;gender&#39;. You can override using the `.groups` argument.</code></pre>
<pre><code>## # A tibble: 6 x 5
## # Groups:   gender [2]
##   gender condition        count  mean    sd
##   &lt;fct&gt;  &lt;fct&gt;            &lt;int&gt; &lt;dbl&gt; &lt;dbl&gt;
## 1 Female control            234  12.6  4.89
## 2 Female gender_question    239  13.0  4.68
## 3 Female gender_statement   259  13.1  4.63
## 4 Male   control            262  15.2  4.09
## 5 Male   gender_question    252  14.6  4.15
## 6 Male   gender_statement   256  15.5  3.77</code></pre>
<pre class="r"><code>#Table of means and sd of attempted responses per gender

group_by(data_pooled, gender)%&gt;%
  summarise(
    count = n(),
    mean = mean(attempt, na.rm = TRUE),
    sd = sd(attempt, na.rm = TRUE))</code></pre>
<pre><code>## # A tibble: 2 x 4
##   gender count  mean    sd
##   &lt;fct&gt;  &lt;int&gt; &lt;dbl&gt; &lt;dbl&gt;
## 1 Female   732  12.9  4.73
## 2 Male     770  15.1  4.01</code></pre>
<pre class="r"><code>#
apa.aov.table(
ancova,
&quot;sample2_ex_attempt.doc&quot;,
table.number = NA,
conf.level = 0.95,
type = 3
)</code></pre>
<pre><code>## 
## 
## ANOVA results using attempt as the dependent variable
##  
## 
##           Predictor       SS   df      MS      F    p partial_eta2
##         (Intercept)  5731.33    1 5731.33 378.27 .000             
##         polinterest  5978.31    1 5978.31 394.57 .000          .21
##              gender   415.64    1  415.64  27.43 .000          .02
##           condition    25.60    2   12.80   0.84 .430          .00
##  gender x condition    59.18    2   29.59   1.95 .142          .00
##               Error 22651.14 1495   15.15                         
##  CI_95_partial_eta2
##                    
##          [.17, .24]
##          [.01, .03]
##          [.00, .01]
##          [.00, .01]
##                    
## 
## Note: Values in square brackets indicate the bounds of the 95% confidence interval for partial eta-squared</code></pre>
</div>
<div id="political-interest" class="section level3">
<h3>Political interest</h3>
<p>Table S15</p>
<pre class="r"><code>aov &lt;- aov(polinterest ~ gender*Politics*condition, data_pooled)
aovfit &lt;- car::Anova(aov, type = 3)
aovfit</code></pre>
<pre><code>## Anova Table (Type III tests)
## 
## Response: polinterest
##                           Sum Sq   Df F value Pr(&gt;F)    
## (Intercept)                 2943    1 1160.27 &lt;2e-16 ***
## gender                        12    1    4.64 0.0315 *  
## Politics                      26    1   10.39 0.0013 ** 
## condition                      2    2    0.36 0.6979    
## gender:Politics                0    1    0.17 0.6785    
## gender:condition               0    2    0.03 0.9725    
## Politics:condition             1    2    0.15 0.8583    
## gender:Politics:condition      1    2    0.25 0.7773    
## Residuals                   3780 1490                   
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1</code></pre>
<pre class="r"><code>sjstats::anova_stats(aovfit)</code></pre>
<pre><code>## term                      |    sumsq | meansq |   df | statistic | p.value | etasq | partial.etasq | omegasq | partial.omegasq | epsilonsq | cohens.f | power
## -------------------------------------------------------------------------------------------------------------------------------------------------------------
## gender                    |   11.761 | 11.761 |    1 |     4.636 |   0.031 | 0.003 |         0.003 |   0.002 |           0.002 |     0.002 |    0.056 | 0.577
## Politics                  |   26.356 | 26.356 |    1 |    10.389 |   0.001 | 0.007 |         0.007 |   0.006 |           0.006 |     0.006 |    0.084 | 0.897
## condition                 |    1.826 |  0.913 |    2 |     0.360 |   0.698 | 0.000 |         0.000 |  -0.001 |          -0.001 |    -0.001 |    0.022 | 0.108
## gender:Politics           |    0.436 |  0.436 |    1 |     0.172 |   0.678 | 0.000 |         0.000 |  -0.001 |          -0.001 |    -0.001 |    0.011 | 0.070
## gender:condition          |    0.141 |  0.071 |    2 |     0.028 |   0.973 | 0.000 |         0.000 |  -0.001 |          -0.001 |    -0.001 |    0.006 | 0.054
## Politics:condition        |    0.775 |  0.388 |    2 |     0.153 |   0.858 | 0.000 |         0.000 |  -0.001 |          -0.001 |    -0.001 |    0.014 | 0.074
## gender:Politics:condition |    1.279 |  0.639 |    2 |     0.252 |   0.777 | 0.000 |         0.000 |  -0.001 |          -0.001 |    -0.001 |    0.018 | 0.090
## Residuals                 | 3779.841 |  2.537 | 1490 |           |         |       |               |         |                 |           |          |</code></pre>
<pre class="r"><code>sjstats::eta_sq(aovfit, partial = T, ci.lvl = .95)</code></pre>
<pre><code>## Warning: &#39;sjstats::eta_sq&#39; is deprecated.
## Use &#39;effectsize::eta_squared()&#39; instead.
## See help(&quot;Deprecated&quot;)</code></pre>
<pre><code>## Type 3 ANOVAs only give sensible and informative results when covariates are
##   mean-centered and factors are coded with orthogonal contrasts (such as those
##   produced by &#39;contr.sum&#39;, &#39;contr.poly&#39;, or &#39;contr.helmert&#39;, but *not* by the
##   default &#39;contr.treatment&#39;).</code></pre>
<pre><code>## # Effect Size for ANOVA (Type III)
## 
## Parameter                 | Eta2 (partial) |       95% CI
## ---------------------------------------------------------
## gender                    |       3.10e-03 | [0.00, 1.00]
## Politics                  |       6.92e-03 | [0.00, 1.00]
## condition                 |       4.83e-04 | [0.00, 1.00]
## gender:Politics           |       1.15e-04 | [0.00, 1.00]
## gender:condition          |       3.74e-05 | [0.00, 1.00]
## Politics:condition        |       2.05e-04 | [0.00, 1.00]
## gender:Politics:condition |       3.38e-04 | [0.00, 1.00]
## 
## - One-sided CIs: upper bound fixed at (1).</code></pre>
<pre class="r"><code>#Table of means and sd of political interest per field of study/work

group_by(data_pooled, Politics) %&gt;%
  summarise(
    count = n(),
    mean = mean(polinterest, na.rm = TRUE),
    sd = sd(polinterest, na.rm = TRUE)
  )</code></pre>
<pre><code>## # A tibble: 2 x 4
##   Politics count  mean    sd
##   &lt;chr&gt;    &lt;int&gt; &lt;dbl&gt; &lt;dbl&gt;
## 1 No         905  4.33  1.67
## 2 Yes        597  5.23  1.49</code></pre>
<pre class="r"><code>#Table of means and sd of political interest per gender
group_by(data_pooled, gender)%&gt;%
  summarise(
    count = n(),
    mean = mean(polinterest, na.rm = TRUE),
    sd = sd(polinterest, na.rm = TRUE)
  )</code></pre>
<pre><code>## # A tibble: 2 x 4
##   gender count  mean    sd
##   &lt;fct&gt;  &lt;int&gt; &lt;dbl&gt; &lt;dbl&gt;
## 1 Female   732  4.42  1.72
## 2 Male     770  4.95  1.56</code></pre>
<pre class="r"><code># Correlation between Political interest and political knowledge
cor.test(data_pooled$polinterest, data_pooled$polknowledge)</code></pre>
<pre><code>## 
##  Pearson&#39;s product-moment correlation
## 
## data:  data_pooled$polinterest and data_pooled$polknowledge
## t = 17, df = 1500, p-value &lt;2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  0.357 0.442
## sample estimates:
## cor 
## 0.4</code></pre>
<pre class="r"><code>#
apa.aov.table(
aov,
&quot;sample2_ex_interest.doc&quot;,
table.number = NA,
conf.level = 0.95,
type = 3
)</code></pre>
<pre><code>## 
## 
## ANOVA results using polinterest as the dependent variable
##  
## 
##                      Predictor      SS   df      MS       F    p partial_eta2
##                    (Intercept) 2943.38    1 2943.38 1160.27 .000             
##                         gender   11.76    1   11.76    4.64 .031          .00
##                       Politics   26.36    1   26.36   10.39 .001          .01
##                      condition    1.83    2    0.92    0.36 .698          .00
##              gender x Politics    0.44    1    0.44    0.17 .678          .00
##             gender x condition    0.14    2    0.07    0.03 .973          .00
##           Politics x condition    0.78    2    0.39    0.15 .858          .00
##  gender x Politics x condition    1.28    2    0.64    0.25 .777          .00
##                          Error 3779.84 1490    2.54                          
##  CI_95_partial_eta2
##                    
##          [.00, .01]
##          [.00, .02]
##          [.00, .00]
##          [.00, .00]
##          [.00, .00]
##          [.00, .00]
##          [.00, .00]
##                    
## 
## Note: Values in square brackets indicate the bounds of the 95% confidence interval for partial eta-squared</code></pre>
</div>
<div id="recoding-the-politics-group" class="section level3">
<h3>Recoding the Politics group</h3>
<p>Table S16</p>
<pre class="r"><code>#In the original study, the Politics group was composed by bachelor students of Political Science, Public Administration, Sociology and Governance. 
data_pooled$Politics_new &lt;- ifelse(grepl(&quot;1&quot;, data_pooled$Field_1) == TRUE  |
                          #grepl(&quot;1&quot;, data_pooled$Field_5) == TRUE  |
                          grepl(&quot;1&quot;, data_pooled$Field_11) == TRUE  |
                          grepl(&quot;1&quot;, data_pooled$Field_12) == TRUE  |
                          grepl(&quot;1&quot;, data_pooled$Field_27) == TRUE, &quot;Yes&quot;, &quot;No&quot;)

ancova &lt;- aov(polknowledge ~ polinterest + gender*Politics_new*condition, data_pooled)
ancovafit &lt;- car::Anova(ancova, type = 3)
ancovafit</code></pre>
<pre><code>## Anova Table (Type III tests)
## 
## Response: polknowledge
##                               Sum Sq   Df F value Pr(&gt;F)    
## (Intercept)                     1166    1   98.36 &lt;2e-16 ***
## polinterest                     2182    1  184.06 &lt;2e-16 ***
## gender                           432    1   36.44  2e-09 ***
## Politics_new                      27    1    2.26   0.13    
## condition                         13    2    0.56   0.57    
## gender:Politics_new                0    1    0.02   0.90    
## gender:condition                  32    2    1.34   0.26    
## Politics_new:condition             7    2    0.30   0.74    
## gender:Politics_new:condition      1    2    0.04   0.96    
## Residuals                      17651 1489                   
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1</code></pre>
<pre class="r"><code>sjstats::anova_stats(ancovafit)</code></pre>
<pre><code>## term                          |     sumsq |   meansq |   df | statistic | p.value | etasq | partial.etasq | omegasq | partial.omegasq | epsilonsq | cohens.f | power
## --------------------------------------------------------------------------------------------------------------------------------------------------------------------
## polinterest                   |  2181.896 | 2181.896 |    1 |   184.062 |  &lt; .001 | 0.107 |         0.110 |   0.107 |           0.109 |     0.107 |    0.352 | 1.000
## gender                        |   431.934 |  431.934 |    1 |    36.437 |  &lt; .001 | 0.021 |         0.024 |   0.021 |           0.023 |     0.021 |    0.156 | 1.000
## Politics_new                  |    26.806 |   26.806 |    1 |     2.261 |   0.133 | 0.001 |         0.002 |   0.001 |           0.001 |     0.001 |    0.039 | 0.324
## condition                     |    13.196 |    6.598 |    2 |     0.557 |   0.573 | 0.001 |         0.001 |  -0.001 |          -0.001 |    -0.001 |    0.027 | 0.143
## gender:Politics_new           |     0.193 |    0.193 |    1 |     0.016 |   0.899 | 0.000 |         0.000 |  -0.001 |          -0.001 |    -0.001 |    0.003 | 0.052
## gender:condition              |    31.676 |   15.838 |    2 |     1.336 |   0.263 | 0.002 |         0.002 |   0.000 |           0.000 |     0.000 |    0.042 | 0.290
## Politics_new:condition        |     7.109 |    3.555 |    2 |     0.300 |   0.741 | 0.000 |         0.000 |  -0.001 |          -0.001 |    -0.001 |    0.020 | 0.098
## gender:Politics_new:condition |     0.916 |    0.458 |    2 |     0.039 |   0.962 | 0.000 |         0.000 |  -0.001 |          -0.001 |    -0.001 |    0.007 | 0.056
## Residuals                     | 17650.848 |   11.854 | 1489 |           |         |       |               |         |                 |           |          |</code></pre>
<pre class="r"><code>sjstats::eta_sq(ancovafit, partial = T, ci.lvl = .95)</code></pre>
<pre><code>## Warning: &#39;sjstats::eta_sq&#39; is deprecated.
## Use &#39;effectsize::eta_squared()&#39; instead.
## See help(&quot;Deprecated&quot;)</code></pre>
<pre><code>## Type 3 ANOVAs only give sensible and informative results when covariates are
##   mean-centered and factors are coded with orthogonal contrasts (such as those
##   produced by &#39;contr.sum&#39;, &#39;contr.poly&#39;, or &#39;contr.helmert&#39;, but *not* by the
##   default &#39;contr.treatment&#39;).</code></pre>
<pre><code>## # Effect Size for ANOVA (Type III)
## 
## Parameter                     | Eta2 (partial) |       95% CI
## -------------------------------------------------------------
## polinterest                   |           0.11 | [0.09, 1.00]
## gender                        |           0.02 | [0.01, 1.00]
## Politics_new                  |       1.52e-03 | [0.00, 1.00]
## condition                     |       7.47e-04 | [0.00, 1.00]
## gender:Politics_new           |       1.09e-05 | [0.00, 1.00]
## gender:condition              |       1.79e-03 | [0.00, 1.00]
## Politics_new:condition        |       4.03e-04 | [0.00, 1.00]
## gender:Politics_new:condition |       5.19e-05 | [0.00, 1.00]
## 
## - One-sided CIs: upper bound fixed at (1).</code></pre>
<pre class="r"><code>apa.aov.table(
ancova,
&quot;sample2_ex_nohist.doc&quot;,
table.number = NA,
conf.level = 0.95,
type = 3
)</code></pre>
<pre><code>## 
## 
## ANOVA results using polknowledge as the dependent variable
##  
## 
##                          Predictor       SS   df      MS      F    p
##                        (Intercept)  1165.99    1 1165.99  98.36 .000
##                        polinterest  2181.90    1 2181.90 184.06 .000
##                             gender   431.93    1  431.93  36.44 .000
##                       Politics_new    26.81    1   26.81   2.26 .133
##                          condition    13.20    2    6.60   0.56 .573
##              gender x Politics_new     0.19    1    0.19   0.02 .899
##                 gender x condition    31.68    2   15.84   1.34 .263
##           Politics_new x condition     7.11    2    3.56   0.30 .741
##  gender x Politics_new x condition     0.92    2    0.46   0.04 .962
##                              Error 17650.85 1489   11.85            
##  partial_eta2 CI_95_partial_eta2
##                                 
##           .11         [.08, .14]
##           .02         [.01, .04]
##           .00         [.00, .01]
##           .00         [.00, .00]
##           .00         [.00, .00]
##           .00         [.00, .01]
##           .00         [.00, .00]
##           .00         [.00, .00]
##                                 
## 
## Note: Values in square brackets indicate the bounds of the 95% confidence interval for partial eta-squared</code></pre>
</div>
<div id="removing-field-of-studywork-from-analysis" class="section level3">
<h3>Removing field of study/work from analysis</h3>
<p>Table S17</p>
<pre class="r"><code>ancova &lt;- aov(polknowledge ~ polinterest + gender*condition, data_pooled)
ancovafit &lt;- car::Anova(ancova, type = 3)
ancovafit</code></pre>
<pre><code>## Anova Table (Type III tests)
## 
## Response: polknowledge
##                  Sum Sq   Df F value  Pr(&gt;F)    
## (Intercept)        1163    1   96.27 &lt; 2e-16 ***
## polinterest        2933    1  242.78 &lt; 2e-16 ***
## gender              702    1   58.13 4.3e-14 ***
## condition            38    2    1.56    0.21    
## gender:condition     48    2    2.00    0.14    
## Residuals         18059 1495                    
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1</code></pre>
<pre class="r"><code>sjstats::anova_stats(ancovafit)</code></pre>
<pre><code>## term             |     sumsq |   meansq |   df | statistic | p.value | etasq | partial.etasq | omegasq | partial.omegasq | epsilonsq | cohens.f | power
## -------------------------------------------------------------------------------------------------------------------------------------------------------
## polinterest      |  2932.618 | 2932.618 |    1 |   242.780 |  &lt; .001 | 0.135 |         0.140 |   0.134 |           0.139 |     0.134 |    0.403 | 1.000
## gender           |   702.146 |  702.146 |    1 |    58.128 |  &lt; .001 | 0.032 |         0.037 |   0.032 |           0.037 |     0.032 |    0.197 | 1.000
## condition        |    37.653 |   18.827 |    2 |     1.559 |   0.211 | 0.002 |         0.002 |   0.001 |           0.001 |     0.001 |    0.046 | 0.333
## gender:condition |    48.208 |   24.104 |    2 |     1.995 |   0.136 | 0.002 |         0.003 |   0.001 |           0.001 |     0.001 |    0.052 | 0.415
## Residuals        | 18058.549 |   12.079 | 1495 |           |         |       |               |         |                 |           |          |</code></pre>
<pre class="r"><code>sjstats::eta_sq(ancovafit, partial = T, ci.lvl = .95)</code></pre>
<pre><code>## Warning: &#39;sjstats::eta_sq&#39; is deprecated.
## Use &#39;effectsize::eta_squared()&#39; instead.
## See help(&quot;Deprecated&quot;)</code></pre>
<pre><code>## Type 3 ANOVAs only give sensible and informative results when covariates are
##   mean-centered and factors are coded with orthogonal contrasts (such as those
##   produced by &#39;contr.sum&#39;, &#39;contr.poly&#39;, or &#39;contr.helmert&#39;, but *not* by the
##   default &#39;contr.treatment&#39;).</code></pre>
<pre><code>## # Effect Size for ANOVA (Type III)
## 
## Parameter        | Eta2 (partial) |       95% CI
## ------------------------------------------------
## polinterest      |           0.14 | [0.11, 1.00]
## gender           |           0.04 | [0.02, 1.00]
## condition        |       2.08e-03 | [0.00, 1.00]
## gender:condition |       2.66e-03 | [0.00, 1.00]
## 
## - One-sided CIs: upper bound fixed at (1).</code></pre>
<pre class="r"><code>apa.aov.table(
ancova,
&quot;sample2_ex_nofield.doc&quot;,
table.number = NA,
conf.level = 0.95,
type = 3
)</code></pre>
<pre><code>## 
## 
## ANOVA results using polknowledge as the dependent variable
##  
## 
##           Predictor       SS   df      MS      F    p partial_eta2
##         (Intercept)  1162.85    1 1162.85  96.27 .000             
##         polinterest  2932.62    1 2932.62 242.78 .000          .14
##              gender   702.15    1  702.15  58.13 .000          .04
##           condition    37.65    2   18.82   1.56 .211          .00
##  gender x condition    48.21    2   24.11   2.00 .136          .00
##               Error 18058.55 1495   12.08                         
##  CI_95_partial_eta2
##                    
##          [.11, .17]
##          [.02, .06]
##          [.00, .01]
##          [.00, .01]
##                    
## 
## Note: Values in square brackets indicate the bounds of the 95% confidence interval for partial eta-squared</code></pre>
</div>
<div id="participants-ranking-of-politics-as-an-important-topic-for-their-studieswork" class="section level3">
<h3>Participants’ ranking of Politics as an important topic for their studies/work</h3>
<p>Table S18</p>
<pre class="r"><code># relabel topics ranking with topic name
names(data_pooled)[217:243] &lt;- c(&quot;rank_politics&quot;, 
                                     &quot;rank_psychology&quot;,
                                     &quot;rank_economics&quot;,
                                     &quot;rank_biology&quot;,
                                     &quot;rank_history&quot;,
                                     &quot;rank_geography&quot;,
                                     &quot;rank_chemistry&quot;,
                                     &quot;rank_physics&quot;,
                                     &quot;rank_business&quot;,
                                     &quot;rank_foodindustry&quot;,
                                     &quot;rank_sociology&quot;,
                                     &quot;rank_publicadministration&quot;,
                                     &quot;rank_mathematics&quot;,
                                     &quot;rank_law&quot;,
                                     &quot;rank_accounting&quot;,
                                     &quot;rank_engineering&quot;,
                                     &quot;rank_pedagogy&quot;,
                                     &quot;rank_education&quot;,
                                     &quot;rank_healthcare&quot;,
                                     &quot;rank_socialservices&quot;,
                                     &quot;rank_arts&quot;,
                                     &quot;rank_finance&quot;,
                                     &quot;rank_transportation&quot;,
                                     &quot;rank_retail&quot;,
                                     &quot;rank_it&quot;,
                                     &quot;rank_realestate&quot;,
                                     &quot;rank_government&quot;) 
#
#table(data_pooled$Politics, data_pooled$rank_politics, useNA = &quot;always&quot;)
# reverse ranking so that NA = 0, a rank of 1 = 4 --&gt; ordinal scale
data_pooled$politics_ranking &lt;- ifelse(is.na(data_pooled$rank_politics), 0,
                                       ifelse(data_pooled$rank_politics == 1, 4,
                                              ifelse(data_pooled$rank_politics == 2, 3,
                                                     ifelse(data_pooled$rank_politics == 3, 2, 1))))
#
#table(data_pooled$politics_ranking, useNA = &quot;always&quot;)
#
ancova &lt;- aov(polknowledge ~ polinterest + politics_ranking + gender*Politics*condition, data_pooled)
ancovafit &lt;- car::Anova(ancova, type = 3)
ancovafit</code></pre>
<pre><code>## Anova Table (Type III tests)
## 
## Response: polknowledge
##                           Sum Sq   Df F value  Pr(&gt;F)    
## (Intercept)                 1185    1   99.66 &lt; 2e-16 ***
## polinterest                 2133    1  179.48 &lt; 2e-16 ***
## politics_ranking              27    1    2.29    0.13    
## gender                       342    1   28.81 9.3e-08 ***
## Politics                       0    1    0.01    0.94    
## condition                      6    2    0.26    0.77    
## gender:Politics               10    1    0.86    0.35    
## gender:condition              29    2    1.22    0.30    
## Politics:condition            26    2    1.11    0.33    
## gender:Politics:condition      5    2    0.21    0.81    
## Residuals                  17687 1488                    
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1</code></pre>
<pre class="r"><code>sjstats::eta_sq(ancovafit, partial = T, ci.lvl = .95)</code></pre>
<pre><code>## Warning: &#39;sjstats::eta_sq&#39; is deprecated.
## Use &#39;effectsize::eta_squared()&#39; instead.
## See help(&quot;Deprecated&quot;)</code></pre>
<pre><code>## Type 3 ANOVAs only give sensible and informative results when covariates are
##   mean-centered and factors are coded with orthogonal contrasts (such as those
##   produced by &#39;contr.sum&#39;, &#39;contr.poly&#39;, or &#39;contr.helmert&#39;, but *not* by the
##   default &#39;contr.treatment&#39;).</code></pre>
<pre><code>## # Effect Size for ANOVA (Type III)
## 
## Parameter                 | Eta2 (partial) |       95% CI
## ---------------------------------------------------------
## polinterest               |           0.11 | [0.08, 1.00]
## politics_ranking          |       1.54e-03 | [0.00, 1.00]
## gender                    |           0.02 | [0.01, 1.00]
## Politics                  |       3.74e-06 | [0.00, 1.00]
## condition                 |       3.53e-04 | [0.00, 1.00]
## gender:Politics           |       5.77e-04 | [0.00, 1.00]
## gender:condition          |       1.63e-03 | [0.00, 1.00]
## Politics:condition        |       1.50e-03 | [0.00, 1.00]
## gender:Politics:condition |       2.84e-04 | [0.00, 1.00]
## 
## - One-sided CIs: upper bound fixed at (1).</code></pre>
<pre class="r"><code>apa.aov.table(
ancova,
&quot;sample2_ex_rank.doc&quot;,
table.number = NA,
conf.level = 0.95,
type = 3
)</code></pre>
<pre><code>## 
## 
## ANOVA results using polknowledge as the dependent variable
##  
## 
##                      Predictor       SS   df      MS      F    p partial_eta2
##                    (Intercept)  1184.59    1 1184.59  99.66 .000             
##                    polinterest  2133.38    1 2133.38 179.48 .000          .11
##               politics_ranking    27.22    1   27.22   2.29 .130          .00
##                         gender   342.42    1  342.42  28.81 .000          .02
##                       Politics     0.07    1    0.07   0.01 .941          .00
##                      condition     6.24    2    3.12   0.26 .769          .00
##              gender x Politics    10.22    1   10.22   0.86 .354          .00
##             gender x condition    28.96    2   14.48   1.22 .296          .00
##           Politics x condition    26.50    2   13.25   1.11 .328          .00
##  gender x Politics x condition     5.02    2    2.51   0.21 .810          .00
##                          Error 17686.71 1488   11.89                         
##  CI_95_partial_eta2
##                    
##          [.08, .14]
##          [.00, .01]
##          [.01, .03]
##          [.00, .00]
##          [.00, .00]
##          [.00, .01]
##          [.00, .01]
##          [.00, .01]
##          [.00, .00]
##                    
## 
## Note: Values in square brackets indicate the bounds of the 95% confidence interval for partial eta-squared</code></pre>
</div>
<div id="participants-attributed-importance-to-politics" class="section level3">
<h3>Participants’ attributed importance to Politics</h3>
<p>Table S19</p>
<pre class="r"><code># relabel topics importance with topic name
names(data_pooled)[249:275] &lt;- c(&quot;importance_politics&quot;, 
                                     &quot;importance_psychology&quot;,
                                     &quot;importance_economics&quot;,
                                     &quot;importance_biology&quot;,
                                     &quot;importance_history&quot;,
                                     &quot;importance_geography&quot;,
                                     &quot;importance_chemistry&quot;,
                                     &quot;importance_physics&quot;,
                                     &quot;importance_business&quot;,
                                     &quot;importance_foodindustry&quot;,
                                     &quot;importance_sociology&quot;,
                                     &quot;importance_publicadministration&quot;,
                                     &quot;importance_mathematics&quot;,
                                     &quot;importance_law&quot;,
                                     &quot;importance_accounting&quot;,
                                     &quot;importance_engineering&quot;,
                                     &quot;importance_pedagogy&quot;,
                                     &quot;importance_education&quot;,
                                     &quot;importance_healthcare&quot;,
                                     &quot;importance_socialservices&quot;,
                                     &quot;importance_arts&quot;,
                                     &quot;importance_finance&quot;,
                                     &quot;importance_transportation&quot;,
                                     &quot;importance_retail&quot;,
                                     &quot;importance_it&quot;,
                                     &quot;importance_realestate&quot;,
                                     &quot;importance_government&quot;) 
#
#
# as covariate
#
ancova &lt;- aov(polknowledge ~ polinterest + importance_politics + gender*Politics*condition, data_pooled)
ancovafit &lt;- car::Anova(ancova, type = 3)
ancovafit</code></pre>
<pre><code>## Anova Table (Type III tests)
## 
## Response: polknowledge
##                           Sum Sq   Df F value  Pr(&gt;F)    
## (Intercept)                 1149    1   98.85 &lt; 2e-16 ***
## polinterest                 2666    1  229.37 &lt; 2e-16 ***
## importance_politics          418    1   35.93 2.6e-09 ***
## gender                       328    1   28.19 1.3e-07 ***
## Politics                       3    1    0.27    0.60    
## condition                      9    2    0.41    0.67    
## gender:Politics               17    1    1.47    0.22    
## gender:condition              32    2    1.38    0.25    
## Politics:condition            31    2    1.33    0.26    
## gender:Politics:condition      6    2    0.25    0.78    
## Residuals                  17296 1488                    
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1</code></pre>
<pre class="r"><code>#
sjstats::eta_sq(ancovafit, partial = T, ci.lvl = .95)</code></pre>
<pre><code>## Warning: &#39;sjstats::eta_sq&#39; is deprecated.
## Use &#39;effectsize::eta_squared()&#39; instead.
## See help(&quot;Deprecated&quot;)</code></pre>
<pre><code>## Type 3 ANOVAs only give sensible and informative results when covariates are
##   mean-centered and factors are coded with orthogonal contrasts (such as those
##   produced by &#39;contr.sum&#39;, &#39;contr.poly&#39;, or &#39;contr.helmert&#39;, but *not* by the
##   default &#39;contr.treatment&#39;).</code></pre>
<pre><code>## # Effect Size for ANOVA (Type III)
## 
## Parameter                 | Eta2 (partial) |       95% CI
## ---------------------------------------------------------
## polinterest               |           0.13 | [0.11, 1.00]
## importance_politics       |           0.02 | [0.01, 1.00]
## gender                    |           0.02 | [0.01, 1.00]
## Politics                  |       1.82e-04 | [0.00, 1.00]
## condition                 |       5.45e-04 | [0.00, 1.00]
## gender:Politics           |       9.90e-04 | [0.00, 1.00]
## gender:condition          |       1.85e-03 | [0.00, 1.00]
## Politics:condition        |       1.79e-03 | [0.00, 1.00]
## gender:Politics:condition |       3.30e-04 | [0.00, 1.00]
## 
## - One-sided CIs: upper bound fixed at (1).</code></pre>
<pre class="r"><code>#
apa.aov.table(
ancova,
&quot;sample2_ex_importance.doc&quot;,
table.number = NA,
conf.level = 0.95,
type = 3
)</code></pre>
<pre><code>## 
## 
## ANOVA results using polknowledge as the dependent variable
##  
## 
##                      Predictor       SS   df      MS      F    p partial_eta2
##                    (Intercept)  1149.06    1 1149.06  98.85 .000             
##                    polinterest  2666.13    1 2666.13 229.37 .000          .13
##            importance_politics   417.65    1  417.65  35.93 .000          .02
##                         gender   327.70    1  327.70  28.19 .000          .02
##                       Politics     3.16    1    3.16   0.27 .602          .00
##                      condition     9.43    2    4.71   0.41 .667          .00
##              gender x Politics    17.13    1   17.13   1.47 .225          .00
##             gender x condition    32.08    2   16.04   1.38 .252          .00
##           Politics x condition    30.99    2   15.49   1.33 .264          .00
##  gender x Politics x condition     5.71    2    2.85   0.25 .782          .00
##                          Error 17296.28 1488   11.62                         
##  CI_95_partial_eta2
##                    
##          [.10, .17]
##          [.01, .04]
##          [.01, .03]
##          [.00, .00]
##          [.00, .00]
##          [.00, .01]
##          [.00, .01]
##          [.00, .01]
##          [.00, .00]
##                    
## 
## Note: Values in square brackets indicate the bounds of the 95% confidence interval for partial eta-squared</code></pre>
</div>
<div id="sample-composition" class="section level3">
<h3>Sample composition</h3>
<p>Table S20</p>
<pre class="r"><code># Ihme&amp; Tausendpfund (2018, p. 44)
# Test subjects included N = 377 students of psychology (n = 236) and politics (n = 141) 
# at the FernUniversität in Hagen (M = 31 years, SD = 12.04; 58.9% female).

# Our sample:
# 1502 participants (Mage = 45.87 years, SDage = 17.35, 48.74% female)

psych::describe(data_pooled$Age)</code></pre>
<pre><code>##    vars    n mean   sd median trimmed  mad  min max range skew kurtosis   se
## X1    1 1502 45.9 17.4     43    45.5 20.8 0.59  85  84.4 0.22    -1.12 0.45</code></pre>
<pre class="r"><code>#
data_pooled$age_group &lt;- ifelse(data_pooled$Age &lt; 44, &quot;young&quot;, 
                                ifelse(data_pooled$Age &gt; 43, &quot;old&quot;, NA))
table(data_pooled$age_group, useNA = &quot;ifany&quot;)</code></pre>
<pre><code>## 
##   old young 
##   743   759</code></pre>
<pre class="r"><code>#
psych::describeBy(data_pooled$Age, group = data_pooled$age_group) # M = 31, SD = 7.17</code></pre>
<pre><code>## 
##  Descriptive statistics by group 
## group: old
##    vars   n mean   sd median trimmed  mad min max range  skew kurtosis   se
## X1    1 743   61 10.1     62      61 11.9  44  85    41 -0.01    -1.06 0.37
## ------------------------------------------------------------ 
## group: young
##    vars   n mean   sd median trimmed  mad  min max range  skew kurtosis   se
## X1    1 759 31.1 7.17     31    31.3 7.41 0.59  43  42.4 -0.29    -0.55 0.26</code></pre>
<pre class="r"><code>#
table(data_pooled$age_group, data_pooled$Education)</code></pre>
<pre><code>##        
##           1   2   3   4
##   old    11 147 269 316
##   young  22 215 245 277</code></pre>
<pre class="r"><code>#
data_pooled$age_education &lt;- ifelse(data_pooled$age_group == &quot;young&quot; &amp; data_pooled$Education &gt;= 3, &quot;young and higher ed&quot;,
                                    ifelse(data_pooled$age_group == &quot;young&quot; &amp; data_pooled$Education &lt; 3, &quot;yound and lower ed&quot;,
                                           ifelse(data_pooled$age_group == &quot;old&quot; &amp; data_pooled$Education &gt;= 3, &quot;old and higher ed&quot;,
                                                  ifelse(data_pooled$age_group == &quot;old&quot; &amp; data_pooled$Education &lt; 3, &quot;old and lower ed&quot;, NA))))
#
table(data_pooled$age_education, useNA = &quot;ifany&quot;) # 522 participants young and higher ed</code></pre>
<pre><code>## 
##   old and higher ed    old and lower ed  yound and lower ed young and higher ed 
##                 585                 158                 237                 522</code></pre>
<pre class="r"><code>#
data_younged &lt;- data_pooled[which(data_pooled$age_education == &quot;young and higher ed&quot;),]

ancova &lt;- aov(polknowledge ~ polinterest + gender*Politics*condition, data_younged)
ancovafit &lt;- car::Anova(ancova, type = 3)
ancovafit</code></pre>
<pre><code>## Anova Table (Type III tests)
## 
## Response: polknowledge
##                           Sum Sq  Df F value  Pr(&gt;F)    
## (Intercept)                  460   1   42.52 1.7e-10 ***
## polinterest                  394   1   36.47 3.0e-09 ***
## gender                        21   1    1.97    0.16    
## Politics                      12   1    1.07    0.30    
## condition                      4   2    0.18    0.83    
## gender:Politics                0   1    0.01    0.92    
## gender:condition               3   2    0.12    0.89    
## Politics:condition             2   2    0.09    0.92    
## gender:Politics:condition      3   2    0.15    0.86    
## Residuals                   5503 509                    
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1</code></pre>
<pre class="r"><code>#sjstats::anova_stats(ancovafit)
sjstats::eta_sq(ancovafit, partial = T, ci.lvl = .95)</code></pre>
<pre><code>## Warning: &#39;sjstats::eta_sq&#39; is deprecated.
## Use &#39;effectsize::eta_squared()&#39; instead.
## See help(&quot;Deprecated&quot;)</code></pre>
<pre><code>## Type 3 ANOVAs only give sensible and informative results when covariates are
##   mean-centered and factors are coded with orthogonal contrasts (such as those
##   produced by &#39;contr.sum&#39;, &#39;contr.poly&#39;, or &#39;contr.helmert&#39;, but *not* by the
##   default &#39;contr.treatment&#39;).</code></pre>
<pre><code>## # Effect Size for ANOVA (Type III)
## 
## Parameter                 | Eta2 (partial) |       95% CI
## ---------------------------------------------------------
## polinterest               |           0.07 | [0.04, 1.00]
## gender                    |       3.85e-03 | [0.00, 1.00]
## Politics                  |       2.09e-03 | [0.00, 1.00]
## condition                 |       7.24e-04 | [0.00, 1.00]
## gender:Politics           |       2.08e-05 | [0.00, 1.00]
## gender:condition          |       4.66e-04 | [0.00, 1.00]
## Politics:condition        |       3.42e-04 | [0.00, 1.00]
## gender:Politics:condition |       5.90e-04 | [0.00, 1.00]
## 
## - One-sided CIs: upper bound fixed at (1).</code></pre>
<pre class="r"><code>apa.aov.table(
ancova,
&quot;rr_newsample.doc&quot;,
table.number = NA,
conf.level = 0.95,
type = 3
)</code></pre>
<pre><code>## 
## 
## ANOVA results using polknowledge as the dependent variable
##  
## 
##                      Predictor      SS  df     MS     F    p partial_eta2
##                    (Intercept)  459.76   1 459.76 42.52 .000             
##                    polinterest  394.31   1 394.31 36.47 .000          .07
##                         gender   21.28   1  21.28  1.97 .161          .00
##                       Politics   11.52   1  11.52  1.07 .302          .00
##                      condition    3.99   2   2.00  0.18 .832          .00
##              gender x Politics    0.11   1   0.11  0.01 .918          .00
##             gender x condition    2.56   2   1.28  0.12 .888          .00
##           Politics x condition    1.88   2   0.94  0.09 .917          .00
##  gender x Politics x condition    3.25   2   1.62  0.15 .860          .00
##                          Error 5503.10 509  10.81                        
##  CI_95_partial_eta2
##                    
##          [.03, .11]
##          [.00, .02]
##          [.00, .02]
##          [.00, .01]
##          [.00, .00]
##          [.00, .01]
##          [.00, .01]
##          [.00, .01]
##                    
## 
## Note: Values in square brackets indicate the bounds of the 95% confidence interval for partial eta-squared</code></pre>
<pre class="r"><code>#
#ancova &lt;- aov(polknowledge ~ polinterest + gender*Politics*condition*age_education, data_pooled)
#emmeans.ancova &lt;- emmeans(ancova, specs = c(&quot;age_education&quot;))
#emmeans.ancova 

#contrast &lt;- contrast(emmeans.ancova, &quot;pairwise&quot;, 
 #                       simple = &quot;gender&quot;, # &quot;each&quot; gives all contrasts
  #                      combine = T, 
   #                     adjust = &quot;bonferroni&quot;)

#contrast</code></pre>
</div>
<div id="measurement-invariance" class="section level3">
<h3>Measurement Invariance</h3>
<p>Table S21</p>
<pre class="r"><code>PolKnow_items_all_MI &lt;- PolKnow_items_all
names(PolKnow_items_all_MI) &lt;- c(&quot;i1&quot;, &quot;i2&quot;, &quot;i3&quot;, &quot;i4&quot;, &quot;i5&quot;, &quot;i6&quot;, &quot;i7&quot;, &quot;i8&quot;, &quot;i9&quot;, &quot;i10&quot;, &quot;i11&quot;, &quot;i12&quot;, &quot;i13&quot;, &quot;i14&quot;, &quot;i15&quot;, &quot;i16&quot;, &quot;i17&quot;, &quot;i18&quot;, &quot;i19&quot;, &quot;i20&quot;)
PolKnow_items_all_MI$gender  &lt;- data_pooled$gender
PolKnow_items_all_MI$genderN &lt;- as.numeric(PolKnow_items_all_MI$gender)-1

# Measurement Invariance
# ----------------------

library(difR)
library(ltm)

Lord.dif.1PL &lt;- difLord(PolKnow_items_all_MI[, 1:20], group = PolKnow_items_all_MI[, 22], focal.name = 1, model = &quot;1PL&quot;)
plot(Lord.dif.1PL)</code></pre>
<p><img src="data:image/png;base64,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" width="672" /></p>
<pre><code>## The plot was not captured!</code></pre>
<pre class="r"><code>Lord.dif.2PL &lt;- difLord(PolKnow_items_all_MI[, 1:20], group = PolKnow_items_all_MI[, 22], focal.name = 1, model = &quot;2PL&quot;)
plot(Lord.dif.2PL)</code></pre>
<p><img src="data:image/png;base64,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" width="672" /></p>
<pre><code>## The plot was not captured!</code></pre>
<pre class="r"><code># 3PL doesn&#39;t estimate
#Lord.dif.3PL &lt;- difLord(PolKnow_items_all_MI[, 1:20], group = PolKnow_items_all_MI[, 22], focal.name = 1, model = &quot;3PL&quot;, discr = NULL)

library(&quot;mirt&quot;)

#MIRT
mod_configural &lt;- multipleGroup(PolKnow_items_all_MI[, 1:20], 1, group = PolKnow_items_all_MI[, 21], SE = TRUE)</code></pre>
<pre><code>## 
Iteration: 1, Log-Lik: -15927.420, Max-Change: 0.78168
Iteration: 2, Log-Lik: -15525.222, Max-Change: 0.42651
Iteration: 3, Log-Lik: -15450.657, Max-Change: 0.29524
Iteration: 4, Log-Lik: -15428.839, Max-Change: 0.14554
Iteration: 5, Log-Lik: -15418.647, Max-Change: 0.09659
Iteration: 6, Log-Lik: -15413.631, Max-Change: 0.06421
Iteration: 7, Log-Lik: -15410.643, Max-Change: 0.05111
Iteration: 8, Log-Lik: -15408.790, Max-Change: 0.03982
Iteration: 9, Log-Lik: -15407.612, Max-Change: 0.03053
Iteration: 10, Log-Lik: -15405.636, Max-Change: 0.01032
Iteration: 11, Log-Lik: -15405.517, Max-Change: 0.00819
Iteration: 12, Log-Lik: -15405.443, Max-Change: 0.00676
Iteration: 13, Log-Lik: -15405.285, Max-Change: 0.00590
Iteration: 14, Log-Lik: -15405.279, Max-Change: 0.00226
Iteration: 15, Log-Lik: -15405.275, Max-Change: 0.00200
Iteration: 16, Log-Lik: -15405.270, Max-Change: 0.00132
Iteration: 17, Log-Lik: -15405.269, Max-Change: 0.00124
Iteration: 18, Log-Lik: -15405.268, Max-Change: 0.00109
Iteration: 19, Log-Lik: -15405.267, Max-Change: 0.00016
Iteration: 20, Log-Lik: -15405.267, Max-Change: 0.00017
Iteration: 21, Log-Lik: -15405.267, Max-Change: 0.00016
Iteration: 22, Log-Lik: -15405.267, Max-Change: 0.00047
Iteration: 23, Log-Lik: -15405.267, Max-Change: 0.00013
Iteration: 24, Log-Lik: -15405.267, Max-Change: 0.00007
## 
## Calculating information matrix...</code></pre>
<pre class="r"><code>M2(mod_configural) # OK ish</code></pre>
<pre><code>##        M2  df p  RMSEA RMSEA_5 RMSEA_95 SRMSR.Female SRMSR.Male   TLI  CFI
## stats 729 340 0 0.0276  0.0248   0.0304       0.0441     0.0432 0.944 0.95</code></pre>
<pre class="r"><code>plot(mod_configural)</code></pre>
<p><img src="data:image/png;base64,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" width="672" /></p>
<pre class="r"><code>mirtCluster()
DRF(mod_configural, draws=500, plot=TRUE)</code></pre>
<pre><code>## No hyper-parameters were estimated in the DIF model. For effective
##                  DRF testing freeing the focal group hyper-parameters is recommended.</code></pre>
<p><img src="data:image/png;base64,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" width="672" /></p>
<pre class="r"><code># constrain slopes within each group to be equal (but not across groups)
model2 &lt;- &#39;F1 = 1-20
           CONSTRAIN = (1-20, a1)&#39;
mod_configural2 &lt;- multipleGroup(PolKnow_items_all_MI[, 1:20], model2, group = PolKnow_items_all_MI[, 21], SE = TRUE)</code></pre>
<pre><code>## 
Iteration: 1, Log-Lik: -15927.420, Max-Change: 0.37793
Iteration: 2, Log-Lik: -15818.458, Max-Change: 0.11969
Iteration: 3, Log-Lik: -15791.243, Max-Change: 0.09745
Iteration: 4, Log-Lik: -15777.625, Max-Change: 0.05150
Iteration: 5, Log-Lik: -15770.452, Max-Change: 0.04648
Iteration: 6, Log-Lik: -15766.641, Max-Change: 0.03806
Iteration: 7, Log-Lik: -15763.447, Max-Change: 0.02716
Iteration: 8, Log-Lik: -15762.456, Max-Change: 0.01364
Iteration: 9, Log-Lik: -15761.900, Max-Change: 0.01126
Iteration: 10, Log-Lik: -15761.239, Max-Change: 0.00848
Iteration: 11, Log-Lik: -15761.168, Max-Change: 0.00327
Iteration: 12, Log-Lik: -15761.133, Max-Change: 0.00294
Iteration: 13, Log-Lik: -15761.081, Max-Change: 0.00149
Iteration: 14, Log-Lik: -15761.076, Max-Change: 0.00021
Iteration: 15, Log-Lik: -15761.075, Max-Change: 0.00079
Iteration: 16, Log-Lik: -15761.075, Max-Change: 0.00059
Iteration: 17, Log-Lik: -15761.073, Max-Change: 0.00062
Iteration: 18, Log-Lik: -15761.072, Max-Change: 0.00022
Iteration: 19, Log-Lik: -15761.072, Max-Change: 0.00058
Iteration: 20, Log-Lik: -15761.071, Max-Change: 0.00010
Iteration: 21, Log-Lik: -15761.071, Max-Change: 0.00040
Iteration: 22, Log-Lik: -15761.071, Max-Change: 0.00023
Iteration: 23, Log-Lik: -15761.071, Max-Change: 0.00037
Iteration: 24, Log-Lik: -15761.071, Max-Change: 0.00017
Iteration: 25, Log-Lik: -15761.071, Max-Change: 0.00009
## 
## Calculating information matrix...</code></pre>
<pre class="r"><code>summary(mod_configural2)</code></pre>
<pre><code>## 
## ----------
## GROUP: Female 
##        F1    h2
## i1  0.506 0.256
## i2  0.506 0.256
## i3  0.506 0.256
## i4  0.506 0.256
## i5  0.506 0.256
## i6  0.506 0.256
## i7  0.506 0.256
## i8  0.506 0.256
## i9  0.506 0.256
## i10 0.506 0.256
## i11 0.506 0.256
## i12 0.506 0.256
## i13 0.506 0.256
## i14 0.506 0.256
## i15 0.506 0.256
## i16 0.506 0.256
## i17 0.506 0.256
## i18 0.506 0.256
## i19 0.506 0.256
## i20 0.506 0.256
## 
## SS loadings:  5.12 
## Proportion Var:  0.256 
## 
## Factor correlations: 
## 
##    F1
## F1  1
## 
## ----------
## GROUP: Male 
##        F1    h2
## i1  0.526 0.276
## i2  0.526 0.276
## i3  0.526 0.276
## i4  0.526 0.276
## i5  0.526 0.276
## i6  0.526 0.276
## i7  0.526 0.276
## i8  0.526 0.276
## i9  0.526 0.276
## i10 0.526 0.276
## i11 0.526 0.276
## i12 0.526 0.276
## i13 0.526 0.276
## i14 0.526 0.276
## i15 0.526 0.276
## i16 0.526 0.276
## i17 0.526 0.276
## i18 0.526 0.276
## i19 0.526 0.276
## i20 0.526 0.276
## 
## SS loadings:  5.53 
## Proportion Var:  0.276 
## 
## Factor correlations: 
## 
##    F1
## F1  1</code></pre>
<pre class="r"><code>DRF(mod_configural2, draws=500, plot=TRUE)</code></pre>
<pre><code>## No hyper-parameters were estimated in the DIF model. For effective
##                  DRF testing freeing the focal group hyper-parameters is recommended.</code></pre>
<p><img src="data:image/png;base64,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" width="672" /></p>
<pre class="r"><code>DTF(mod_configural, draws = 1000) </code></pre>
<pre><code>## No hyper-parameters were estimated in the DIF model. For effective
##                  DTF testing, freeing the focal group hyper-parameters is recommend.</code></pre>
<pre><code>## $observed
##    sDTF.score sDTF(%).score    uDTF.score uDTF(%).score 
##         -1.13         -5.63          1.13          5.67 
## 
## $CIs
##         sDTF.score sDTF(%).score uDTF.score uDTF(%).score
## CI_97.5     -0.882         -4.41      1.363          6.81
## CI_2.5      -1.354         -6.77      0.953          4.76
## 
## $tests
## P(sDTF.score = 0) 
##          8.82e-20</code></pre>
<pre class="r"><code>DTF(mod_configural, draws = 1000, plot=&#39;sDTF&#39;)</code></pre>
<pre><code>## No hyper-parameters were estimated in the DIF model. For effective
##                  DTF testing, freeing the focal group hyper-parameters is recommend.</code></pre>
<p><img src="data:image/png;base64,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" width="672" /></p>
</div>
</div>
<div id="analyses-of-variance-with-mean-centered-covariates-and-orthogonal-contrasts" class="section level2">
<h2>Analyses of variance with mean-centered covariates and orthogonal contrasts</h2>
<p>Table S22</p>
<pre class="r"><code># Given that type III analyses only give sensible and informative results when covariates are mean-centered and factors are coded with orthogonal contrasts, we adjusted both, covariates and factor variables.

aov &lt;- aov(polknowledge ~ gender*Politics*condition, data_stage1, contrasts=list(gender=contr.sum, Politics=contr.sum, condition=contr.sum))
aovfit &lt;- car::Anova(aov, digits = 3, type = 3)
aovfit</code></pre>
<pre><code>## Anova Table (Type III tests)
## 
## Response: polknowledge
##                           Sum Sq  Df F value  Pr(&gt;F)    
## (Intercept)                46588   1 3251.68 &lt; 2e-16 ***
## gender                       729   1   50.91 2.6e-12 ***
## Politics                     381   1   26.59 3.3e-07 ***
## condition                     36   2    1.24    0.29    
## gender:Politics                9   1    0.64    0.43    
## gender:condition              44   2    1.53    0.22    
## Politics:condition            20   2    0.70    0.49    
## gender:Politics:condition     59   2    2.05    0.13    
## Residuals                   9442 659                    
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1</code></pre>
<pre class="r"><code>sjstats::eta_sq(aovfit, partial = T, ci.lvl = .95)</code></pre>
<pre><code>## Warning: &#39;sjstats::eta_sq&#39; is deprecated.
## Use &#39;effectsize::eta_squared()&#39; instead.
## See help(&quot;Deprecated&quot;)</code></pre>
<pre><code>## Type 3 ANOVAs only give sensible and informative results when covariates are
##   mean-centered and factors are coded with orthogonal contrasts (such as those
##   produced by &#39;contr.sum&#39;, &#39;contr.poly&#39;, or &#39;contr.helmert&#39;, but *not* by the
##   default &#39;contr.treatment&#39;).</code></pre>
<pre><code>## # Effect Size for ANOVA (Type III)
## 
## Parameter                 | Eta2 (partial) |       95% CI
## ---------------------------------------------------------
## gender                    |           0.07 | [0.04, 1.00]
## Politics                  |           0.04 | [0.02, 1.00]
## condition                 |       3.75e-03 | [0.00, 1.00]
## gender:Politics           |       9.66e-04 | [0.00, 1.00]
## gender:condition          |       4.62e-03 | [0.00, 1.00]
## Politics:condition        |       2.13e-03 | [0.00, 1.00]
## gender:Politics:condition |       6.20e-03 | [0.00, 1.00]
## 
## - One-sided CIs: upper bound fixed at (1).</code></pre>
<pre class="r"><code>apa.aov.table(
aov,
&quot;sample1_h1_corrected.doc&quot;,
table.number = NA,
conf.level = 0.95,
type = 3
)</code></pre>
<pre><code>## 
## 
## ANOVA results using polknowledge as the dependent variable
##  
## 
##                      Predictor       SS  df       MS       F    p partial_eta2
##                    (Intercept) 46588.36   1 46588.36 3251.68 .000             
##                         gender   729.39   1   729.39   50.91 .000          .07
##                       Politics   381.02   1   381.02   26.59 .000          .04
##                      condition    35.50   2    17.75    1.24 .290          .00
##              gender x Politics     9.13   1     9.13    0.64 .425          .00
##             gender x condition    43.83   2    21.91    1.53 .217          .00
##           Politics x condition    20.19   2    10.10    0.70 .495          .00
##  gender x Politics x condition    58.88   2    29.44    2.05 .129          .01
##                          Error  9441.79 659    14.33                          
##  CI_95_partial_eta2
##                    
##          [.04, .11]
##          [.02, .07]
##          [.00, .02]
##          [.00, .01]
##          [.00, .02]
##          [.00, .01]
##          [.00, .02]
##                    
## 
## Note: Values in square brackets indicate the bounds of the 95% confidence interval for partial eta-squared</code></pre>
<p>Table S23</p>
<pre class="r"><code># Given that type III analyses only give sensible and informative results when covariates are mean-centered and factors are coded with orthogonal contrasts, we adjusted both, covariates and factor variables.
data_stage1$polinterest_c &lt;- center_scale(data_stage1$polinterest)

ancova &lt;- aov(polknowledge ~ polinterest_c + gender*Politics*condition, data_stage1, contrasts=list(gender=contr.sum, Politics=contr.sum, condition=contr.sum))
ancovafit &lt;- car::Anova(ancova, type = 3)
ancovafit</code></pre>
<pre><code>## Anova Table (Type III tests)
## 
## Response: polknowledge
##                           Sum Sq  Df F value  Pr(&gt;F)    
## (Intercept)                45877   1 3702.27 &lt; 2e-16 ***
## polinterest_c               1288   1  103.96 &lt; 2e-16 ***
## gender                       488   1   39.42 6.2e-10 ***
## Politics                     129   1   10.42  0.0013 ** 
## condition                     42   2    1.68  0.1874    
## gender:Politics               11   1    0.87  0.3513    
## gender:condition              25   2    1.01  0.3643    
## Politics:condition            21   2    0.86  0.4221    
## gender:Politics:condition     78   2    3.16  0.0429 *  
## Residuals                   8154 658                    
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1</code></pre>
<pre class="r"><code>#sjstats::anova_stats(ancovafit)
sjstats::eta_sq(ancovafit, partial = T, ci.lvl = .95)</code></pre>
<pre><code>## Warning: &#39;sjstats::eta_sq&#39; is deprecated.
## Use &#39;effectsize::eta_squared()&#39; instead.
## See help(&quot;Deprecated&quot;)</code></pre>
<pre><code>## Type 3 ANOVAs only give sensible and informative results when covariates are
##   mean-centered and factors are coded with orthogonal contrasts (such as those
##   produced by &#39;contr.sum&#39;, &#39;contr.poly&#39;, or &#39;contr.helmert&#39;, but *not* by the
##   default &#39;contr.treatment&#39;).</code></pre>
<pre><code>## # Effect Size for ANOVA (Type III)
## 
## Parameter                 | Eta2 (partial) |       95% CI
## ---------------------------------------------------------
## polinterest_c             |           0.14 | [0.10, 1.00]
## gender                    |           0.06 | [0.03, 1.00]
## Politics                  |           0.02 | [0.00, 1.00]
## condition                 |       5.08e-03 | [0.00, 1.00]
## gender:Politics           |       1.32e-03 | [0.00, 1.00]
## gender:condition          |       3.06e-03 | [0.00, 1.00]
## Politics:condition        |       2.62e-03 | [0.00, 1.00]
## gender:Politics:condition |       9.53e-03 | [0.00, 1.00]
## 
## - One-sided CIs: upper bound fixed at (1).</code></pre>
<pre class="r"><code>apa.aov.table(
ancova,
&quot;sample1_h2_corrected.doc&quot;,
table.number = NA,
conf.level = 0.95,
type = 3
)</code></pre>
<pre><code>## 
## 
## ANOVA results using polknowledge as the dependent variable
##  
## 
##                      Predictor       SS  df       MS       F    p partial_eta2
##                    (Intercept) 45876.63   1 45876.63 3702.27 .000             
##                  polinterest_c  1288.20   1  1288.20  103.96 .000          .14
##                         gender   488.42   1   488.42   39.42 .000          .06
##                       Politics   129.10   1   129.10   10.42 .001          .02
##                      condition    41.61   2    20.80    1.68 .187          .01
##              gender x Politics    10.78   1    10.78    0.87 .351          .00
##             gender x condition    25.06   2    12.53    1.01 .364          .00
##           Politics x condition    21.41   2    10.71    0.86 .422          .00
##  gender x Politics x condition    78.42   2    39.21    3.16 .043          .01
##                          Error  8153.59 658    12.39                          
##  CI_95_partial_eta2
##                    
##          [.09, .18]
##          [.03, .09]
##          [.00, .04]
##          [.00, .02]
##          [.00, .01]
##          [.00, .01]
##          [.00, .01]
##          [.00, .03]
##                    
## 
## Note: Values in square brackets indicate the bounds of the 95% confidence interval for partial eta-squared</code></pre>
<p>Table S24</p>
<pre class="r"><code># Given that type III analyses only give sensible and informative results when covariates are mean-centered and factors are coded with orthogonal contrasts, we adjusted both, covariates and factor variables.

aov &lt;- aov(polknowledge ~ gender*Politics*condition, data_pooled, contrasts=list(gender=contr.sum, Politics=contr.sum, condition=contr.sum))
aovfit &lt;- car::Anova(aov, digits = 3, type = 3)
aovfit</code></pre>
<pre><code>## Anova Table (Type III tests)
## 
## Response: polknowledge
##                           Sum Sq   Df F value  Pr(&gt;F)    
## (Intercept)               104553    1 7777.11 &lt; 2e-16 ***
## gender                      1710    1  127.22 &lt; 2e-16 ***
## Politics                     860    1   64.00 2.5e-15 ***
## condition                     34    2    1.27    0.28    
## gender:Politics               16    1    1.15    0.28    
## gender:condition              62    2    2.30    0.10    
## Politics:condition            34    2    1.26    0.28    
## gender:Politics:condition      9    2    0.32    0.73    
## Residuals                  20031 1490                    
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1</code></pre>
<pre class="r"><code>#sjstats::anova_stats(aovfit, digits = 3, partial = T)
sjstats::eta_sq(aovfit, partial = T, ci.lvl = .95)</code></pre>
<pre><code>## Warning: &#39;sjstats::eta_sq&#39; is deprecated.
## Use &#39;effectsize::eta_squared()&#39; instead.
## See help(&quot;Deprecated&quot;)</code></pre>
<pre><code>## Type 3 ANOVAs only give sensible and informative results when covariates are
##   mean-centered and factors are coded with orthogonal contrasts (such as those
##   produced by &#39;contr.sum&#39;, &#39;contr.poly&#39;, or &#39;contr.helmert&#39;, but *not* by the
##   default &#39;contr.treatment&#39;).</code></pre>
<pre><code>## # Effect Size for ANOVA (Type III)
## 
## Parameter                 | Eta2 (partial) |       95% CI
## ---------------------------------------------------------
## gender                    |           0.08 | [0.06, 1.00]
## Politics                  |           0.04 | [0.03, 1.00]
## condition                 |       1.70e-03 | [0.00, 1.00]
## gender:Politics           |       7.73e-04 | [0.00, 1.00]
## gender:condition          |       3.08e-03 | [0.00, 1.00]
## Politics:condition        |       1.69e-03 | [0.00, 1.00]
## gender:Politics:condition |       4.25e-04 | [0.00, 1.00]
## 
## - One-sided CIs: upper bound fixed at (1).</code></pre>
<pre class="r"><code>apa.aov.table(
aov,
&quot;sample2_h1_corrected.doc&quot;,
table.number = NA,
conf.level = 0.95,
type = 3
)</code></pre>
<pre><code>## 
## 
## ANOVA results using polknowledge as the dependent variable
##  
## 
##                      Predictor        SS   df        MS       F    p
##                    (Intercept) 104552.99    1 104552.99 7777.11 .000
##                         gender   1710.26    1   1710.26  127.22 .000
##                       Politics    860.46    1    860.46   64.00 .000
##                      condition     34.14    2     17.07    1.27 .281
##              gender x Politics     15.50    1     15.50    1.15 .283
##             gender x condition     61.85    2     30.93    2.30 .101
##           Politics x condition     33.98    2     16.99    1.26 .283
##  gender x Politics x condition      8.51    2      4.25    0.32 .729
##                          Error  20031.08 1490     13.44             
##  partial_eta2 CI_95_partial_eta2
##                                 
##           .08         [.05, .11]
##           .04         [.02, .06]
##           .00         [.00, .01]
##           .00         [.00, .01]
##           .00         [.00, .01]
##           .00         [.00, .01]
##           .00         [.00, .00]
##                                 
## 
## Note: Values in square brackets indicate the bounds of the 95% confidence interval for partial eta-squared</code></pre>
<p>Table S25</p>
<pre class="r"><code># Given that type III analyses only give sensible and informative results when covariates are mean-centered and factors are coded with orthogonal contrasts, we adjusted both, covariates and factor variables.
data_pooled$polinterest_c &lt;- center_scale(data_pooled$polinterest)

ancova &lt;- aov(polknowledge ~ polinterest_c + gender*Politics*condition, data_pooled, contrasts=list(gender=contr.sum, Politics=contr.sum, condition=contr.sum))
ancovafit &lt;- car::Anova(ancova, type = 3)
ancovafit</code></pre>
<pre><code>## Anova Table (Type III tests)
## 
## Response: polknowledge
##                           Sum Sq   Df F value  Pr(&gt;F)    
## (Intercept)               102939    1 8652.86 &lt; 2e-16 ***
## polinterest_c               2317    1  194.78 &lt; 2e-16 ***
## gender                      1248    1  104.94 &lt; 2e-16 ***
## Politics                     282    1   23.69 1.2e-06 ***
## condition                     28    2    1.17   0.310    
## gender:Politics               11    1    0.93   0.335    
## gender:condition              60    2    2.51   0.081 .  
## Politics:condition            31    2    1.30   0.274    
## gender:Politics:condition      5    2    0.22   0.806    
## Residuals                  17714 1489                    
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1</code></pre>
<pre class="r"><code>#sjstats::anova_stats(ancovafit)
sjstats::eta_sq(ancovafit, partial = T, ci.lvl = .95)</code></pre>
<pre><code>## Warning: &#39;sjstats::eta_sq&#39; is deprecated.
## Use &#39;effectsize::eta_squared()&#39; instead.
## See help(&quot;Deprecated&quot;)</code></pre>
<pre><code>## Type 3 ANOVAs only give sensible and informative results when covariates are
##   mean-centered and factors are coded with orthogonal contrasts (such as those
##   produced by &#39;contr.sum&#39;, &#39;contr.poly&#39;, or &#39;contr.helmert&#39;, but *not* by the
##   default &#39;contr.treatment&#39;).</code></pre>
<pre><code>## # Effect Size for ANOVA (Type III)
## 
## Parameter                 | Eta2 (partial) |       95% CI
## ---------------------------------------------------------
## polinterest_c             |           0.12 | [0.09, 1.00]
## gender                    |           0.07 | [0.05, 1.00]
## Politics                  |           0.02 | [0.01, 1.00]
## condition                 |       1.57e-03 | [0.00, 1.00]
## gender:Politics           |       6.24e-04 | [0.00, 1.00]
## gender:condition          |       3.36e-03 | [0.00, 1.00]
## Politics:condition        |       1.74e-03 | [0.00, 1.00]
## gender:Politics:condition |       2.90e-04 | [0.00, 1.00]
## 
## - One-sided CIs: upper bound fixed at (1).</code></pre>
<pre class="r"><code>apa.aov.table(
ancova,
&quot;sample2_h2_corrected.doc&quot;,
table.number = NA,
conf.level = 0.95,
type = 3
)</code></pre>
<pre><code>## 
## 
## ANOVA results using polknowledge as the dependent variable
##  
## 
##                      Predictor        SS   df        MS       F    p
##                    (Intercept) 102939.03    1 102939.03 8652.86 .000
##                  polinterest_c   2317.15    1   2317.15  194.78 .000
##                         gender   1248.41    1   1248.41  104.94 .000
##                       Politics    281.88    1    281.88   23.69 .000
##                      condition     27.92    2     13.96    1.17 .310
##              gender x Politics     11.07    1     11.07    0.93 .335
##             gender x condition     59.81    2     29.91    2.51 .081
##           Politics x condition     30.85    2     15.43    1.30 .274
##  gender x Politics x condition      5.15    2      2.58    0.22 .806
##                          Error  17713.93 1489     11.90             
##  partial_eta2 CI_95_partial_eta2
##                                 
##           .12         [.09, .15]
##           .07         [.04, .09]
##           .02         [.01, .03]
##           .00         [.00, .01]
##           .00         [.00, .01]
##           .00         [.00, .01]
##           .00         [.00, .01]
##           .00         [.00, .00]
##                                 
## 
## Note: Values in square brackets indicate the bounds of the 95% confidence interval for partial eta-squared</code></pre>
<p>Table S26</p>
<pre class="r"><code># Given that type III analyses only give sensible and informative results when covariates are mean-centered and factors are coded with orthogonal contrasts, we adjusted both, covariates and factor variables.

ancova &lt;- aov(PKT_DK ~ polinterest_c + gender*condition, data_pooled, contrasts=list(gender=contr.sum, condition=contr.sum))
ancovafit &lt;- car::Anova(ancova, type = 3)
ancovafit</code></pre>
<pre><code>## Anova Table (Type III tests)
## 
## Response: PKT_DK
##                  Sum Sq   Df F value  Pr(&gt;F)    
## (Intercept)       32423    1 2279.09 &lt; 2e-16 ***
## polinterest_c      5980    1  420.34 &lt; 2e-16 ***
## gender              946    1   66.50 7.3e-16 ***
## condition            36    2    1.27   0.281    
## gender:condition     76    2    2.65   0.071 .  
## Residuals         21268 1495                    
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1</code></pre>
<pre class="r"><code>apa.aov.table(
ancova,
&quot;sample2_ex_DK_corrected.doc&quot;,
table.number = NA,
conf.level = 0.95,
type = 3
)</code></pre>
<pre><code>## 
## 
## ANOVA results using PKT_DK as the dependent variable
##  
## 
##           Predictor       SS   df       MS       F    p partial_eta2
##         (Intercept) 32422.65    1 32422.65 2279.09 .000             
##       polinterest_c  5979.81    1  5979.81  420.34 .000          .22
##              gender   946.04    1   946.04   66.50 .000          .04
##           condition    36.18    2    18.09    1.27 .281          .00
##  gender x condition    75.51    2    37.76    2.65 .071          .00
##               Error 21268.11 1495    14.23                          
##  CI_95_partial_eta2
##                    
##          [.18, .25]
##          [.02, .06]
##          [.00, .01]
##          [.00, .01]
##                    
## 
## Note: Values in square brackets indicate the bounds of the 95% confidence interval for partial eta-squared</code></pre>
<p>Table S27</p>
<pre class="r"><code># Given that type III analyses only give sensible and informative results when covariates are mean-centered and factors are coded with orthogonal contrasts, we adjusted both, covariates and factor variables.
ancova &lt;- aov(PKT_incorrect ~ polinterest_c + gender*condition, data_pooled, contrasts=list(gender=contr.sum, condition=contr.sum))
ancovafit &lt;- car::Anova(ancova, type = 3)
ancovafit</code></pre>
<pre><code>## Anova Table (Type III tests)
## 
## Response: PKT_incorrect
##                  Sum Sq   Df F value  Pr(&gt;F)    
## (Intercept)       48947    1 9879.76 &lt; 2e-16 ***
## polinterest_c       676    1  136.38 &lt; 2e-16 ***
## gender              226    1   45.62 2.1e-11 ***
## condition             3    2    0.32    0.72    
## gender:condition     11    2    1.10    0.33    
## Residuals          7407 1495                    
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1</code></pre>
<pre class="r"><code>apa.aov.table(
ancova,
&quot;sample2_ex_inc_corrected.doc&quot;,
table.number = NA,
conf.level = 0.95,
type = 3
)</code></pre>
<pre><code>## 
## 
## ANOVA results using PKT_incorrect as the dependent variable
##  
## 
##           Predictor       SS   df       MS       F    p partial_eta2
##         (Intercept) 48947.13    1 48947.13 9879.76 .000             
##       polinterest_c   675.66    1   675.66  136.38 .000          .08
##              gender   226.00    1   226.00   45.62 .000          .03
##           condition     3.20    2     1.60    0.32 .724          .00
##  gender x condition    10.92    2     5.46    1.10 .332          .00
##               Error  7406.65 1495     4.95                          
##  CI_95_partial_eta2
##                    
##          [.06, .11]
##          [.02, .05]
##          [.00, .00]
##          [.00, .01]
##                    
## 
## Note: Values in square brackets indicate the bounds of the 95% confidence interval for partial eta-squared</code></pre>
<p>Table S28</p>
<pre class="r"><code># Given that type III analyses only give sensible and informative results when covariates are mean-centered and factors are coded with orthogonal contrasts, we adjusted both, covariates and factor variables.

#data_pooled$polinterest_c &lt;- center_scale(data_pooled$polinterest)
data_pooled$prop.dk_c &lt;- center_scale(data_pooled$prop.dk)

ancova &lt;- aov(polknowledge ~ polinterest_c + prop.dk_c + gender*Politics*condition, data_pooled, contrasts=list(gender=contr.sum, Politics=contr.sum, condition=contr.sum))
ancovafit &lt;- car::Anova(ancova, type = 3)
ancovafit</code></pre>
<pre><code>## Anova Table (Type III tests)
## 
## Response: polknowledge
##                           Sum Sq   Df  F value  Pr(&gt;F)    
## (Intercept)               102299    1 11967.66 &lt; 2e-16 ***
## polinterest_c                231    1    27.06 2.2e-07 ***
## prop.dk_c                   4833    1   565.35 &lt; 2e-16 ***
## gender                       408    1    47.77 7.1e-12 ***
## Politics                      50    1     5.86   0.016 *  
## condition                      4    2     0.24   0.788    
## gender:Politics                2    1     0.29   0.589    
## gender:condition               9    2     0.50   0.604    
## Politics:condition            11    2     0.65   0.521    
## gender:Politics:condition      1    2     0.05   0.949    
## Residuals                  12702 1486                     
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1</code></pre>
<pre class="r"><code>apa.aov.table(
ancova,
&quot;sample2_ex_prop_corrected.doc&quot;,
table.number = NA,
conf.level = 0.95,
type = 3
)</code></pre>
<pre><code>## 
## 
## ANOVA results using polknowledge as the dependent variable
##  
## 
##                      Predictor        SS   df        MS        F    p
##                    (Intercept) 102298.84    1 102298.84 11967.66 .000
##                  polinterest_c    231.31    1    231.31    27.06 .000
##                      prop.dk_c   4832.62    1   4832.62   565.35 .000
##                         gender    408.31    1    408.31    47.77 .000
##                       Politics     50.05    1     50.05     5.86 .016
##                      condition      4.07    2      2.04     0.24 .788
##              gender x Politics      2.50    1      2.50     0.29 .589
##             gender x condition      8.62    2      4.31     0.50 .604
##           Politics x condition     11.14    2      5.57     0.65 .521
##  gender x Politics x condition      0.90    2      0.45     0.05 .949
##                          Error  12702.24 1486      8.55              
##  partial_eta2 CI_95_partial_eta2
##                                 
##           .02         [.01, .03]
##           .28         [.24, .31]
##           .03         [.02, .05]
##           .00         [.00, .01]
##           .00         [.00, .00]
##           .00         [.00, .00]
##           .00         [.00, .00]
##           .00         [.00, .01]
##           .00         [.00, .00]
##                                 
## 
## Note: Values in square brackets indicate the bounds of the 95% confidence interval for partial eta-squared</code></pre>
<p>Table S29</p>
<pre class="r"><code># Given that type III analyses only give sensible and informative results when covariates are mean-centered and factors are coded with orthogonal contrasts, we adjusted both, covariates and factor variables.

ancova &lt;- aov(attempt ~ polinterest_c + gender*condition, data_pooled, contrasts=list(gender=contr.sum, condition=contr.sum))
ancovafit &lt;- car::Anova(ancova, type = 3)
ancovafit</code></pre>
<pre><code>## Anova Table (Type III tests)
## 
## Response: attempt
##                  Sum Sq   Df  F value  Pr(&gt;F)    
## (Intercept)      293752    1 19387.92 &lt; 2e-16 ***
## polinterest_c      5978    1   394.57 &lt; 2e-16 ***
## gender              889    1    58.66 3.3e-14 ***
## condition            39    2     1.27    0.28    
## gender:condition     59    2     1.95    0.14    
## Residuals         22651 1495                     
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1</code></pre>
<pre class="r"><code>apa.aov.table(
ancova,
&quot;sample2_ex_attempt_corrected.doc&quot;,
table.number = NA,
conf.level = 0.95,
type = 3
)</code></pre>
<pre><code>## 
## 
## ANOVA results using attempt as the dependent variable
##  
## 
##           Predictor        SS   df        MS        F    p partial_eta2
##         (Intercept) 293751.53    1 293751.53 19387.92 .000             
##       polinterest_c   5978.31    1   5978.31   394.57 .000          .21
##              gender    888.81    1    888.81    58.66 .000          .04
##           condition     38.55    2     19.27     1.27 .281          .00
##  gender x condition     59.18    2     29.59     1.95 .142          .00
##               Error  22651.14 1495     15.15                           
##  CI_95_partial_eta2
##                    
##          [.17, .24]
##          [.02, .06]
##          [.00, .01]
##          [.00, .01]
##                    
## 
## Note: Values in square brackets indicate the bounds of the 95% confidence interval for partial eta-squared</code></pre>
<p>Table S30</p>
<pre class="r"><code># Given that type III analyses only give sensible and informative results when covariates are mean-centered and factors are coded with orthogonal contrasts, we adjusted both, covariates and factor variables.
aov &lt;- aov(polinterest ~ gender*Politics*condition, data_pooled, contrasts=list(gender=contr.sum, Politics=contr.sum, condition=contr.sum))
aovfit &lt;- car::Anova(aov, type = 3)
aovfit</code></pre>
<pre><code>## Anova Table (Type III tests)
## 
## Response: polinterest
##                           Sum Sq   Df  F value Pr(&gt;F)    
## (Intercept)                31205    1 12300.85 &lt;2e-16 ***
## gender                        54    1    21.40  4e-06 ***
## Politics                     236    1    93.03 &lt;2e-16 ***
## condition                      5    2     1.04   0.36    
## gender:Politics                1    1     0.24   0.62    
## gender:condition               2    2     0.37   0.69    
## Politics:condition             0    2     0.02   0.98    
## gender:Politics:condition      1    2     0.25   0.78    
## Residuals                   3780 1490                    
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1</code></pre>
<pre class="r"><code>apa.aov.table(
aov,
&quot;sample2_ex_interest_corrected.doc&quot;,
table.number = NA,
conf.level = 0.95,
type = 3
)</code></pre>
<pre><code>## 
## 
## ANOVA results using polinterest as the dependent variable
##  
## 
##                      Predictor       SS   df       MS        F    p
##                    (Intercept) 31204.88    1 31204.88 12300.85 .000
##                         gender    54.30    1    54.30    21.40 .000
##                       Politics   236.00    1   236.00    93.03 .000
##                      condition     5.25    2     2.62     1.04 .355
##              gender x Politics     0.61    1     0.61     0.24 .625
##             gender x condition     1.86    2     0.93     0.37 .693
##           Politics x condition     0.12    2     0.06     0.02 .976
##  gender x Politics x condition     1.28    2     0.64     0.25 .777
##                          Error  3779.84 1490     2.54              
##  partial_eta2 CI_95_partial_eta2
##                                 
##           .01         [.00, .03]
##           .06         [.04, .08]
##           .00         [.00, .01]
##           .00         [.00, .00]
##           .00         [.00, .00]
##           .00        [.00, 1.00]
##           .00         [.00, .00]
##                                 
## 
## Note: Values in square brackets indicate the bounds of the 95% confidence interval for partial eta-squared</code></pre>
<p>Table S31</p>
<pre class="r"><code># Given that type III analyses only give sensible and informative results when covariates are mean-centered and factors are coded with orthogonal contrasts, we adjusted both, covariates and factor variables.

ancova &lt;- aov(polknowledge ~ polinterest_c + gender*Politics_new*condition, data_pooled, contrasts=list(gender=contr.sum,Politics_new=contr.sum, condition=contr.sum))
ancovafit &lt;- car::Anova(ancova, type = 3)
ancovafit</code></pre>
<pre><code>## Anova Table (Type III tests)
## 
## Response: polknowledge
##                               Sum Sq   Df F value  Pr(&gt;F)    
## (Intercept)                    97024    1 8184.77 &lt; 2e-16 ***
## polinterest_c                   2182    1  184.06 &lt; 2e-16 ***
## gender                          1091    1   92.04 &lt; 2e-16 ***
## Politics_new                     380    1   32.02 1.8e-08 ***
## condition                         21    2    0.89    0.41    
## gender:Politics_new                0    1    0.00    0.95    
## gender:condition                  52    2    2.20    0.11    
## Politics_new:condition            13    2    0.54    0.58    
## gender:Politics_new:condition      1    2    0.04    0.96    
## Residuals                      17651 1489                    
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1</code></pre>
<pre class="r"><code>apa.aov.table(
ancova,
&quot;sample2_ex_nohist_corrected.doc&quot;,
table.number = NA,
conf.level = 0.95,
type = 3
)</code></pre>
<pre><code>## 
## 
## ANOVA results using polknowledge as the dependent variable
##  
## 
##                          Predictor       SS   df       MS       F    p
##                        (Intercept) 97023.65    1 97023.65 8184.77 .000
##                      polinterest_c  2181.90    1  2181.90  184.06 .000
##                             gender  1091.11    1  1091.11   92.04 .000
##                       Politics_new   379.61    1   379.61   32.02 .000
##                          condition    21.19    2    10.60    0.89 .409
##              gender x Politics_new     0.04    1     0.04    0.00 .955
##                 gender x condition    52.17    2    26.09    2.20 .111
##           Politics_new x condition    12.79    2     6.39    0.54 .583
##  gender x Politics_new x condition     0.92    2     0.46    0.04 .962
##                              Error 17650.85 1489    11.85             
##  partial_eta2 CI_95_partial_eta2
##                                 
##           .11         [.08, .14]
##           .06         [.04, .08]
##           .02         [.01, .04]
##           .00         [.00, .01]
##           .00        [.00, 1.00]
##           .00         [.00, .01]
##           .00         [.00, .00]
##           .00         [.00, .00]
##                                 
## 
## Note: Values in square brackets indicate the bounds of the 95% confidence interval for partial eta-squared</code></pre>
<p>Table S32</p>
<pre class="r"><code># Given that type III analyses only give sensible and informative results when covariates are mean-centered and factors are coded with orthogonal contrasts, we adjusted both, covariates and factor variables.
ancova &lt;- aov(polknowledge ~ polinterest_c + gender*condition, data_pooled, contrasts=list(gender=contr.sum, condition=contr.sum))
ancovafit &lt;- car::Anova(ancova, type = 3)
ancovafit</code></pre>
<pre><code>## Anova Table (Type III tests)
## 
## Response: polknowledge
##                  Sum Sq   Df F value Pr(&gt;F)    
## (Intercept)      110524    1  9149.9 &lt;2e-16 ***
## polinterest_c      2933    1   242.8 &lt;2e-16 ***
## gender             1470    1   121.7 &lt;2e-16 ***
## condition            19    2     0.8   0.45    
## gender:condition     48    2     2.0   0.14    
## Residuals         18059 1495                   
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1</code></pre>
<pre class="r"><code>apa.aov.table(
ancova,
&quot;sample2_ex_nofield_corrected.doc&quot;,
table.number = NA,
conf.level = 0.95,
type = 3
)</code></pre>
<pre><code>## 
## 
## ANOVA results using polknowledge as the dependent variable
##  
## 
##           Predictor        SS   df        MS       F    p partial_eta2
##         (Intercept) 110523.78    1 110523.78 9149.85 .000             
##       polinterest_c   2932.62    1   2932.62  242.78 .000          .14
##              gender   1469.80    1   1469.80  121.68 .000          .08
##           condition     19.28    2      9.64    0.80 .450          .00
##  gender x condition     48.21    2     24.11    2.00 .136          .00
##               Error  18058.55 1495     12.08                          
##  CI_95_partial_eta2
##                    
##          [.11, .17]
##          [.05, .10]
##          [.00, .01]
##          [.00, .01]
##                    
## 
## Note: Values in square brackets indicate the bounds of the 95% confidence interval for partial eta-squared</code></pre>
<p>Table S33</p>
<pre class="r"><code># Given that type III analyses only give sensible and informative results when covariates are mean-centered and factors are coded with orthogonal contrasts, we adjusted both, covariates and factor variables.

data_pooled$politics_ranking_c &lt;- center_scale(data_pooled$politics_ranking)

ancova &lt;- aov(polknowledge ~ polinterest_c + politics_ranking_c + gender*Politics*condition, data_pooled, contrasts=list(gender=contr.sum, Politics=contr.sum, condition=contr.sum))
ancovafit &lt;- car::Anova(ancova, type = 3)
ancovafit</code></pre>
<pre><code>## Anova Table (Type III tests)
## 
## Response: polknowledge
##                           Sum Sq   Df F value  Pr(&gt;F)    
## (Intercept)               101535    1 8542.26 &lt; 2e-16 ***
## polinterest_c               2133    1  179.48 &lt; 2e-16 ***
## politics_ranking_c            27    1    2.29 0.13041    
## gender                      1199    1  100.86 &lt; 2e-16 ***
## Politics                     138    1   11.63 0.00067 ***
## condition                     27    2    1.15 0.31542    
## gender:Politics                7    1    0.60 0.44028    
## gender:condition              62    2    2.59 0.07515 .  
## Politics:condition            30    2    1.28 0.27919    
## gender:Politics:condition      5    2    0.21 0.80975    
## Residuals                  17687 1488                    
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1</code></pre>
<pre class="r"><code>apa.aov.table(
ancova,
&quot;sample2_ex_rank_corrected.doc&quot;,
table.number = NA,
conf.level = 0.95,
type = 3
)</code></pre>
<pre><code>## 
## 
## ANOVA results using polknowledge as the dependent variable
##  
## 
##                      Predictor        SS   df        MS       F    p
##                    (Intercept) 101535.23    1 101535.23 8542.26 .000
##                  polinterest_c   2133.38    1   2133.38  179.48 .000
##             politics_ranking_c     27.22    1     27.22    2.29 .130
##                         gender   1198.85    1   1198.85  100.86 .000
##                       Politics    138.25    1    138.25   11.63 .001
##                      condition     27.45    2     13.72    1.15 .315
##              gender x Politics      7.08    1      7.08    0.60 .440
##             gender x condition     61.64    2     30.82    2.59 .075
##           Politics x condition     30.36    2     15.18    1.28 .279
##  gender x Politics x condition      5.02    2      2.51    0.21 .810
##                          Error  17686.71 1488     11.89             
##  partial_eta2 CI_95_partial_eta2
##                                 
##           .11         [.08, .14]
##           .00         [.00, .01]
##           .06         [.04, .09]
##           .01         [.00, .02]
##           .00         [.00, .01]
##           .00         [.00, .00]
##           .00         [.00, .01]
##           .00         [.00, .01]
##           .00         [.00, .00]
##                                 
## 
## Note: Values in square brackets indicate the bounds of the 95% confidence interval for partial eta-squared</code></pre>
<p>Table S34</p>
<pre class="r"><code># Given that type III analyses only give sensible and informative results when covariates are mean-centered and factors are coded with orthogonal contrasts, we adjusted both, covariates and factor variables.

data_pooled$importance_politics_c &lt;- center_scale(data_pooled$importance_politics)

ancova &lt;- aov(polknowledge ~ polinterest_c + importance_politics_c + gender*Politics*condition, data_pooled, contrasts=list(gender=contr.sum, Politics=contr.sum, condition=contr.sum))
ancovafit &lt;- car::Anova(ancova, type = 3)
ancovafit</code></pre>
<pre><code>## Anova Table (Type III tests)
## 
## Response: polknowledge
##                           Sum Sq   Df F value  Pr(&gt;F)    
## (Intercept)               103152    1 8874.20 &lt; 2e-16 ***
## polinterest_c               2666    1  229.37 &lt; 2e-16 ***
## importance_politics_c        418    1   35.93 2.6e-09 ***
## gender                      1249    1  107.44 &lt; 2e-16 ***
## Politics                     382    1   32.90 1.2e-08 ***
## condition                     31    2    1.33   0.265    
## gender:Politics               22    1    1.87   0.171    
## gender:condition              60    2    2.57   0.077 .  
## Politics:condition            37    2    1.58   0.205    
## gender:Politics:condition      6    2    0.25   0.782    
## Residuals                  17296 1488                    
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1</code></pre>
<pre class="r"><code>apa.aov.table(
ancova,
&quot;sample2_ex_importance_corrected.doc&quot;,
table.number = NA,
conf.level = 0.95,
type = 3
)</code></pre>
<pre><code>## 
## 
## ANOVA results using polknowledge as the dependent variable
##  
## 
##                      Predictor        SS   df        MS       F    p
##                    (Intercept) 103152.35    1 103152.35 8874.20 .000
##                  polinterest_c   2666.13    1   2666.13  229.37 .000
##          importance_politics_c    417.65    1    417.65   35.93 .000
##                         gender   1248.88    1   1248.88  107.44 .000
##                       Politics    382.42    1    382.42   32.90 .000
##                      condition     30.88    2     15.44    1.33 .265
##              gender x Politics     21.79    1     21.79    1.87 .171
##             gender x condition     59.64    2     29.82    2.57 .077
##           Politics x condition     36.84    2     18.42    1.58 .205
##  gender x Politics x condition      5.71    2      2.85    0.25 .782
##                          Error  17296.28 1488     11.62             
##  partial_eta2 CI_95_partial_eta2
##                                 
##           .13         [.10, .17]
##           .02         [.01, .04]
##           .07         [.04, .09]
##           .02         [.01, .04]
##           .00         [.00, .01]
##           .00         [.00, .01]
##           .00         [.00, .01]
##           .00         [.00, .01]
##           .00         [.00, .00]
##                                 
## 
## Note: Values in square brackets indicate the bounds of the 95% confidence interval for partial eta-squared</code></pre>
<p>Table S35</p>
<pre class="r"><code># Given that type III analyses only give sensible and informative results when covariates are mean-centered and factors are coded with orthogonal contrasts, we adjusted both, covariates and factor variables.

ancova &lt;- aov(polknowledge ~ polinterest_c + gender*Politics*condition, data_younged, contrasts=list(gender=contr.sum, Politics=contr.sum, condition=contr.sum))
ancovafit &lt;- car::Anova(ancova, type = 3)
ancovafit</code></pre>
<pre><code>## Anova Table (Type III tests)
## 
## Response: polknowledge
##                           Sum Sq  Df F value Pr(&gt;F)    
## (Intercept)                29329   1 2712.76 &lt;2e-16 ***
## polinterest_c                394   1   36.47  3e-09 ***
## gender                       117   1   10.79 0.0011 ** 
## Politics                      89   1    8.25 0.0042 ** 
## condition                     16   2    0.72 0.4874    
## gender:Politics                1   1    0.07 0.7974    
## gender:condition               0   2    0.00 0.9960    
## Politics:condition            14   2    0.64 0.5282    
## gender:Politics:condition      3   2    0.15 0.8605    
## Residuals                   5503 509                   
## ---
## Signif. codes:  0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1</code></pre>
<pre class="r"><code>apa.aov.table(
ancova,
&quot;sample2_rr_newsample_corrected.doc&quot;,
table.number = NA,
conf.level = 0.95,
type = 3
)</code></pre>
<pre><code>## 
## 
## ANOVA results using polknowledge as the dependent variable
##  
## 
##                      Predictor       SS  df       MS       F    p partial_eta2
##                    (Intercept) 29329.24   1 29329.24 2712.76 .000             
##                  polinterest_c   394.31   1   394.31   36.47 .000          .07
##                         gender   116.65   1   116.65   10.79 .001          .02
##                       Politics    89.23   1    89.23    8.25 .004          .02
##                      condition    15.56   2     7.78    0.72 .487          .00
##              gender x Politics     0.71   1     0.71    0.07 .797          .00
##             gender x condition     0.09   2     0.04    0.00 .996          .00
##           Politics x condition    13.82   2     6.91    0.64 .528          .00
##  gender x Politics x condition     3.25   2     1.62    0.15 .860          .00
##                          Error  5503.10 509    10.81                          
##  CI_95_partial_eta2
##                    
##          [.03, .11]
##          [.00, .05]
##          [.00, .04]
##          [.00, .02]
##          [.00, .01]
##         [.00, 1.00]
##          [.00, .02]
##          [.00, .01]
##                    
## 
## Note: Values in square brackets indicate the bounds of the 95% confidence interval for partial eta-squared</code></pre>
</div>
<div id="reporting-standards" class="section level2">
<h2>Reporting Standards</h2>
<pre class="r"><code>psych::describe(data_stage1$Duration__in_seconds_)</code></pre>
<pre><code>##    vars   n mean  sd median trimmed mad min  max range skew kurtosis   se
## X1    1 671  521 411    433     457 170 106 4341  4235 5.15     35.1 15.9</code></pre>
<pre class="r"><code>psych::describe(data_pooled$Duration__in_seconds_)</code></pre>
<pre><code>##    vars    n mean  sd median trimmed mad min   max range skew kurtosis   se
## X1    1 1502  537 579    438     459 165  94 11184 11090 10.9      169 14.9</code></pre>
</div>
<div id="saving-all-data" class="section level2">
<h2>Saving all data</h2>
<p>We are saving data in .RData format that is produced at the end of the knitted report so that replicators have access to all data sources and outputs generated by our analyses. With this data one should be able to know what results we found with our analyses (thereby hopefully circumventing computational reproducibility issues).</p>
<pre class="r"><code>save.image(&quot;Reproducible Data for all analyses.RData&quot;)</code></pre>
</div>
</div>



</div>
</div>

</div>

<script>

// add bootstrap table styles to pandoc tables
function bootstrapStylePandocTables() {
  $('tr.odd').parent('tbody').parent('table').addClass('table table-condensed');
}
$(document).ready(function () {
  bootstrapStylePandocTables();
});


</script>

<!-- tabsets -->

<script>
$(document).ready(function () {
  window.buildTabsets("TOC");
});

$(document).ready(function () {
  $('.tabset-dropdown > .nav-tabs > li').click(function () {
    $(this).parent().toggleClass('nav-tabs-open');
  });
});
</script>

<!-- code folding -->

<script>
$(document).ready(function ()  {

    // temporarily add toc-ignore selector to headers for the consistency with Pandoc
    $('.unlisted.unnumbered').addClass('toc-ignore')

    // move toc-ignore selectors from section div to header
    $('div.section.toc-ignore')
        .removeClass('toc-ignore')
        .children('h1,h2,h3,h4,h5').addClass('toc-ignore');

    // establish options
    var options = {
      selectors: "h1,h2,h3",
      theme: "bootstrap3",
      context: '.toc-content',
      hashGenerator: function (text) {
        return text.replace(/[.\\/?&!#<>]/g, '').replace(/\s/g, '_');
      },
      ignoreSelector: ".toc-ignore",
      scrollTo: 0
    };
    options.showAndHide = true;
    options.smoothScroll = true;

    // tocify
    var toc = $("#TOC").tocify(options).data("toc-tocify");
});
</script>

<!-- dynamically load mathjax for compatibility with self-contained -->
<script>
  (function () {
    var script = document.createElement("script");
    script.type = "text/javascript";
    script.src  = "https://mathjax.rstudio.com/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML";
    document.getElementsByTagName("head")[0].appendChild(script);
  })();
</script>

</body>
</html>
